Data Dynamics is a global leader in enterprise data management, focusing on Digital Trust and Data Democracy. Trusted by over 300 organizations, including 25% of the Fortune 20, Data Dynamics is committed to creating a transparent, unified, and empowered data ecosystem. The company s AI-powered self-service data management software revolutionizes traditional data management by empowering data creators of all skill levels to have ownership and control over their data. Job Summary: We are looking for a highly skilled AI/ML Developer/Architect with 7+ years of experience in designing, developing, and deploying Machine Learning (ML) and Artificial Intelligence (AI) solutions . The ideal candidate should be proficient in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP) and should have hands-on experience in building end-to-end AI/ML models, MLOps pipelines, and scalable AI architectures . Key Responsibilities: Design, develop, and optimize ML/DL models for real-world applications across multiple industries and use cases. Collaborate with data scientists, engineers, and stakeholders to define model requirements and success metrics. Implement, test, and deploy AI models using frameworks like TensorFlow, PyTorch, or Scikit-learn to solve complex business problems. Develop reusable model components to accelerate development and experimentation cycles. Fine-tune models for accuracy, performance, and efficiency through hyperparameter optimization and architecture experimentation. Perform regular model evaluations to assess bias, drift, and robustness to ensure fairness and reliability. Build scalable ML pipelines and deploy models using Docker, Kubernetes, and cloud services (AWS/GCP/Azure) for both batch and real-time applications. Establish automated CI/CD pipelines for model versioning, testing, and deployment using MLflow, Kubeflow, or SageMaker. Implement model monitoring, logging, and alerting to ensure continuous model performance and health checks post-deployment. Optimize AI solutions for low-latency and high-availability performance under varying workloads. Implement infrastructure as code (IaC) practices to maintain and deploy AI/ML infrastructure in a repeatable manner. Work with cross-functional teams to ensure that data security, compliance, and privacy policies are integrated into MLOps pipelines. Architect end-to-end AI/ML solutions, including data ingestion, preprocessing, feature engineering, training, and inference pipelines. Define scalable, modular, and cost-effective AI architectures that align with enterprise goals and technology stacks. Design solutions to support both on-premise and cloud-based AI workflows for flexibility and scalability. Create reusable design patterns for AI model integration with existing enterprise systems, APIs, and databases. Implement best practices for model governance, including compliance with regulatory standards, auditability, and explainability. Work with business leaders to translate strategic objectives into AI-driven initiatives and roadmaps. Work with large, complex datasets to optimize ETL pipelines for AI model training and inference. Design and build scalable data pipelines using distributed processing frameworks like Spark, Hadoop, or Dask. Collaborate with data engineering teams to enhance data accessibility, quality, and reliability for machine learning workflows. Leverage SQL/NoSQL databases and data lakes to create data schemas and structures that support efficient ML operations. Implement feature stores and data cataloging tools to streamline feature reuse and data discovery across teams. Develop and maintain data governance frameworks to ensure data security, privacy, and compliance. Stay updated with cutting-edge AI research and trends, including advancements in Generative AI, NLP, and Computer Vision technologies. Experiment with LLMs (Large Language Models) and generative AI models (e.g., GPT, Stable Diffusion) to develop innovative AI solutions. Prototype and evaluate emerging AI technologies to assess their applicability to business problems. Contribute to open-source AI/ML projects, research papers, and industry conferences to establish thought leadership. Collaborate with universities, research institutes, and external partners to foster innovation and access new AI capabilities. Identify opportunities to apply AI in unexplored areas to create competitive advantages for the organization. Required Skills & Qualifications: Proficiency in Python and key AI libraries such as TensorFlow, PyTorch, and Keras, with experience in both supervised and unsupervised learning models. Experience working with computer vision libraries like OpenCV and other image/video processing frameworks. Deep expertise in natural language processing (NLP) techniques using Transformers, BERT, GPT, and related models. Strong understanding of ML algorithms, deep learning architectures (CNNs, RNNs, LSTMs), and optimization techniques (e.g., gradient descent, hyperparameter tuning). Proficiency in at least one secondary programming language (e.g., Java, C++, or Go) to support AI integration into legacy systems. Experience with tools for model evaluation, visualization, and performance monitoring such as TensorBoard and ML visualization dashboards. Hands-on experience with Docker for containerization and Kubernetes for orchestration of scalable AI model deployments. Familiarity with web frameworks like FastAPI and Flask for serving AI models and building RESTful APIs. Experience with cloud-based ML services such as AWS SageMaker, GCP Vertex AI, or Azure ML, including managing pipelines and infrastructure automation. Expertise in using MLOps tools like MLflow, Kubeflow, or Argo Workflows for model tracking, lifecycle management, and version control. Knowledge of serverless architecture and microservices deployment strategies to optimize cloud infrastructure costs and performance. Ability to implement monitoring, logging, and auto-scaling for AI models in production environments. Expertise in working with data analysis libraries such as Pandas, NumPy, and SciPy for data manipulation and exploration. Strong experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB), including data modeling for machine learning. Experience with big data processing frameworks such as Spark, Hadoop, and Kafka to handle large-scale data pipelines. Proficiency in feature engineering techniques, including categorical encoding, scaling, and dimensionality reduction for complex datasets. Familiarity with data augmentation, synthetic data generation, and model interpretability techniques (e.g., SHAP, LIME) to enhance model robustness. Understanding of data governance practices, including data lineage, security, and compliance in large organizations. Strong background in software engineering principles, including object-oriented programming (OOP), design patterns, and best practices. Proficiency with version control tools such as Git, including experience with branching strategies, pull requests, and code reviews. Experience in implementing CI/CD pipelines to automate testing, model deployment, and infrastructure updates. Ability to design scalable and modular AI/ML architectures that integrate seamlessly with enterprise applications and data platforms. Strong knowledge of API development, including RESTful API design, authentication, and performance optimization. Familiarity with infrastructure as code (IaC) tools such as Terraform, CloudFormation, or Ansible to support scalable deployment automation. Soft Skills & Others: Excellent problem-solving and analytical skills. Strong written and verbal communication skills. Preferred Qualifications (Good to Have): Generative AI, Stable Diffusion, LLMs, and multimodal AI models edge AI and hardware-accelerated ML (NVIDIA, TPU, FPGA) open-source AI/ML projects or research papers Job Details : If you re a passionate UX leader who thrives on solving complex design challenges, we d love to hear from you! Please email your resume to dd_hr@datdyn.com

We are seeking a highly experienced PostgreSQL Database Architect & Designer with 8-10 years of relevant experience to design, implement, and optimize high-performance, scalable, and secure PostgreSQL database solutions. The ideal candidate will be responsible for database architecture, high availability, query optimization, performance tuning, and database security. You will play a key role in designing robust data solutions while ensuring high availability and disaster recovery strategies. Key Responsibilities Architect and implement scalable, resilient, and high-performance PostgreSQL databases. Define and optimize database schema, indexing strategies, and partitioning techniques. Design and manage multi-node PostgreSQL deployments for high availability. Optimize SQL queries, indexing, and caching to improve database performance. Perform query execution plan analysis and optimization. Fine-tune PostgreSQL settings (vacuum, autovacuum, connection pooling) for better resource utilization. High Availability & Replication Implement Streaming Replication, Logical Replication, and Failover mechanisms using Patroni or other HA tools. Develop disaster recovery and backup strategies using pgBackRest, Barman, and PITR (Point-in-Time Recovery). Implement Role-Based Access Control (RBAC), SSL/TLS encryption, and auditing. Ensure compliance with GDPR, HIPAA, and other data security standards. Set up database monitoring, logging, and alerting using pg_stat_statements, pgAudit, Prometheus, and Grafana. Proactively conduct database health checks, performance tuning, and maintenance. Deploy and manage PostgreSQL on AWS RDS, Aurora PostgreSQL, Azure Database for PostgreSQL, or Google Cloud SQL. Automate database provisioning and scaling using Terraform, Ansible, Kubernetes, and Helm. Implement Sharding, Table Partitioning, and Read Replicas for scaling PostgreSQL. Use PgBouncer, Pgpool-II for connection pooling and load balancing. Work with JSONB, Full-Text Search (tsvector), and GIN/GiST indexing for advanced search capabilities. Implement PostGIS for geospatial data processing. Leverage pgvector for AI-driven similarity search. Develop stored procedures and functions using PL/pgSQL, PL/Python, or PL/Java. Automate routine tasks using Python, Bash, or Golang.

We are looking for a highly skilled Elasticsearch Database Architect & Designer with 8-10 years of relevant experience in designing, implementing, and optimizing Elasticsearch clusters. The ideal candidate will have a deep understanding of Elasticsearch architecture, query optimization, data indexing, and high-availability design. You will play a crucial role in ensuring scalability, performance, and security of Elasticsearch deployments while integrating them into enterprise applications and cloud environments. Key Responsibilities Architect, design, and implement scalable, resilient, and high-performance Elasticsearch clusters. Define indexing strategies, mapping configurations, and shard allocation to optimize search performance. Ensure high availability, disaster recovery, and failover strategies for mission-critical applications. Develop multi-cluster and cross-cluster search solutions for large-scale distributed environments. Indexing, Querying & Performance Optimization Optimize Elasticsearch queries, aggregations, and filters to improve search efficiency. Implement index lifecycle management (ILM) for data retention and archiving strategies. Fine-tune Elasticsearch sharding, caching, and thread pool settings to maximize throughput. Implement RBAC (Role-Based Access Control), authentication, and encryption using X-Pack Security. Ensure compliance with data security standards like GDPR, HIPAA, etc. Design and develop data ingestion pipelines using Logstash, Beats, and custom connectors. Integrate Elasticsearch with various data sources (SQL/NoSQL databases, message queues, APIs). Monitoring & Maintenance Set up monitoring and alerting using Kibana, Prometheus, and Elastic Stack monitoring. Perform proactive cluster health checks, backup/restore, and index management. Deploy and manage Elasticsearch in AWS, Azure, or GCP using Terraform, Kubernetes, or Helm. Automate cluster provisioning and scaling using CI/CD pipelines and Infrastructure as Code (IaC). Write automation scripts using Python, Bash, or Golang for cluster maintenance. Integrate Elasticsearch with backend services using Java, Python, or Node.js.

We are looking for a skilled Python Developer with 5+ years of experience to join our team in Pune. The ideal candidate should have a strong understanding of Python development, backend frameworks, database management, and cloud technologies. You will be responsible for building scalable applications, optimizing performance, and ensuring code quality. Key Responsibilities: Develop, test, and maintain Python applications Write scalable, secure, and high-performance applications Implement modular and reusable components Automate recurring tasks and processes Design and implement RESTful APIs and microservices Create APIs adhering to best practices for scalability and security Define API specifications (endpoints, request/response, error handling) Implement microservices and use API gateways for traffic management Work with frameworks like Django, Flask, or FastAPI Build applications using Django, Flask, or FastAPI Utilize routing, middleware, and form handling Optimize performance through caching and query optimization Optimize application performance and database queries Analyze and improve code efficiency Optimize database interactions (indexing, caching, pooling) Use asynchronous programming for high I/O operations Collaborate with frontend developers, DevOps, and other teams Work with frontend teams to define API requirements Collaborate with DevOps for CI/CD and deployments Participate in cross-functional planning and design meetings Integrate third-party APIs and services Connect with external APIs and services (payment, messaging, cloud) Handle authentication, data formats, and error handling Implement retries, rate-limiting, and logging for resilience Write clean, maintainable, and well-documented code Follow coding standards and best practices (e.g., PEP 8) Document code using docstrings and comments Maintain structured code repositories with organized modules Conduct code reviews and mentor junior developers Perform code reviews for best practices and standards Provide constructive feedback and guidance Mentor junior developers and lead knowledge-sharing sessions Troubleshoot and debug applications Investigate and resolve application issues Use debugging tools and logging frameworks Implement logging, monitoring, and alerting for issue detection Required Skills & Qualifications: 5+ years of experience in Python development Proficiency in Django, Flask, or FastAPI Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases Knowledge of cloud platforms (AWS, Azure, or GCP) Understanding of containerization (Docker, Kubernetes) Experience with version control (Git) and CI/CD pipelines Strong problem-solving and analytical skills Good communication and teamwork abilities Preferred Skills: Experience with machine learning, data processing, and automation Knowledge of front-end technologies (React, Vue, or Angular) Exposure to message queues like Kafka,

To ensure success as a Senior .NET developer, the following are a must- Building enterprise software applications Experience with Microsoft Frameworks Experience in working with databases like Postgres and Elasticsearch Strong technical skills Advanced problem-solving skills Description: Candidate will be directly involved with .NET application, Web Services Development (C#), database design, along with requirement analysis High level TechStack C# .Net, SQL , WEB API , Strong OOP Meeting with technology managers to determine application and requirements. Analysing system requirements and implementing development tasks. Developing technical specifications. Writing scalable code for .NET software applications. Reviewing and debugging .NET applications. Providing support for other developers. Deploying functional applications, programs, and services. Drafting software and application operating procedures.

We are seeking a highly technical and experienced Professional Services Engineer to act as a dedicated resource for a specific client, overseeing the deployment, configuration, and ongoing support of our Data Dynamics Data Management solutions. The ideal candidate will possess extensive knowledge in NAS Storage (NetApp, EMC, Hitachi HNAS, etc.), Object Storage (S3, Azure Blob, etc.), and advanced expertise in CIFS, NFS, and S3 protocols. This role requires excellent communication and collaboration skills to ensure the successful management of the product on behalf of the client, along with proficiency in Power BI for data analysis and reporting. Key Responsibilities: Implement and configure Data Management solutions within the client s environment, ensuring optimal performance and reliability. Serve as the primary technical point of contact for the client, managing end-to-end product operations and support. Provide technical expertise and troubleshooting for NAS and Object Storage systems, including CIFS, NFS, and S3 protocols. Collaborate with the client to understand requirements, customize solutions, and address evolving needs. Create and maintain detailed technical documentation and user guides tailored to the client s environment. Develop Power BI dashboards and reports to provide insights into system performance and data management. Train and support the client s team to maximize the value of the implemented solutions. Proactively monitor and address issues to ensure uninterrupted service and optimal performance. Manage multiple priorities effectively, balancing technical operations with client-specific goals. Required Skills and Qualifications: Bachelor s degree in computer science, Information Technology, or a related field. 9 to 12 years of experience with NAS Storage solutions (NetApp, EMC, Hitachi HNAS) and Object Storage (S3, Azure Blob). Strong knowledge of CIFS, NFS, and S3 protocols. Proficiency in Linux administration and troubleshooting. Proficiency in Power BI for creating and managing dashboards and reports. Excellent communication and interpersonal skills, with a proven ability to handle customer interactions professionally. Strong problem-solving skills and the ability to work independently. Ability to adapt to dynamic client environments and manage multiple responsibilities effectively. Preferred Qualifications: Experience with scripting languages (e.g., shell, Python) for automation and customization. Familiarity with basic networking concepts and protocols. Certification in relevant technologies (e.g., NetApp Certified Data Administrator, AWS Certified Solutions Architect). This role offers the opportunity to work closely with a client, acting as a trusted advisor and technical expert to ensure the successful management and optimization of our Data Management solutions. If you are a seasoned professional with a passion for technology and client success, we encourage you to apply.

Role Overview We are seeking a Senior UX Designer to lead the design of seamless, user-friendly digital experiences. As a key player in our design team, you will be responsible for driving user research, conceptualizing UX strategies, and ensuring a cohesive design vision across our products. You will collaborate closely with cross-functional teams and help shape the future of our UX practice. Key Responsibilities Lead UX strategy & design execution for complex software product. Conduct user research , analyse data, and translate insights into actionable design decisions. Develop user personas, journey maps, wireframes, prototypes, and high-fidelity designs to enhance product usability. Collaborate with product managers, developers, and stakeholders to align design with business goals. Define and implement UX best practices, design systems, and usability standards across projects. Conduct usability testing, A/B testing, and heuristic evaluations to validate design effectiveness. Advocate for user-centred design while balancing business and technical constraints. Stay up to date with the latest UX trends, tools, and methodologies to continuously improve our design approach. Required Qualifications 10+ years of experience in UX design Strong expertise in design tools such as Figma, Adobe XD, Sketch, Axure, or similar. Proven experience with user research methodologies and data-driven design decisions . Strong understanding of information architecture, interaction design, and usability principles . Experience working with agile development teams in a fast-paced environment. Ability to clearly communicate design decisions and rationale to stakeholders. Experience with design systems and accessibility standards (WCAG, ADA, etc.) . Basic knowledge of HTML, CSS, and front-end development principles is a plus. Preferred Qualifications Experience in B2B/SaaS software UX design . Strong visual design skills and ability to work closely with UI designers. Knowledge of AI-driven UX personalization and emerging UX technologies.

We are seeking a highly technical and experienced Implementation Engineer to oversee the deployment and configuration of our Data Dynamics Data Management solutions. The ideal candidate will possess extensive knowledge in NAS Storage (NetApp, EMC, Hitachi HNAS, etc.) and Object Storage (S3, Azure Blob, etc.), with strong expertise in CIFS, NFS, and S3 protocols. This role requires excellent communication skills to manage customer interactions during implementations and troubleshooting. Key Responsibilities: Implement and configure Data Management solutions for client environments, ensuring optimal performance and reliability. Provide technical support and troubleshooting for NAS and Object Storage systems, including CIFS, NFS, and S3 protocols. Collaborate with clients to understand their requirements and customize solutions to meet their specific needs. Manage multiple projects simultaneously, ensuring timely and successful delivery. Work independently and as part of a team to solve complex technical problems. Develop and maintain technical documentation and user guides. Train and support clients during and after the implementation process. Required Skills and Qualifications: Bachelor s degree in computer science, Information Technology, or a related field. Extensive experience with NAS Storage solutions (NetApp, EMC, Hitachi HNAS) and Object Storage (S3, Azure Blob). Strong knowledge of CIFS, NFS, and S3 protocols. Proficiency in Linux administration and troubleshooting. Excellent communication skills, with the ability to handle customer interactions effectively. Strong problem-solving skills and the ability to work independently. Team player with the flexibility to support multiple projects. Preferred Qualifications: Experience with scripting languages (e.g., shell, Python) for automation. Familiarity with basic networking concepts and protocols. Certification in relevant technologies (e.g., NetApp Certified Data Administrator, AWS Certified Solutions Architect, etc.).

Data Dynamics is a global leader in enterprise data management, focusing on Digital Trust and Data Democracy. Trusted by over 300 organizations, including 25% of the Fortune 20, Data Dynamics is committed to creating a transparent, unified, and empowered data ecosystem. The company s AI-powered self-service data management software revolutionizes traditional data management by empowering data creators of all skill levels to have ownership and control over their data. Job Summary: We are looking for a Senior UI Developer to develop intuitive frond end UI features for our software products. In this role, you will be responsible for architecture, design and development of high-performance, scalable, and user-centric applications. You will collaborate with product managers, designers, and backend teams to create cutting-edge web experiences that delight users. Key Responsibilities: Develop front end features based on modern UI frameworks, architectures, and best practices. Ensure scalability, performance, and maintainability of front-end applications. Drive the adoption of component-based architecture and micro frontends. Promote the use of design systems and reusable UI components across features. Conduct regular code reviews, technical discussions, and best practice sharing. Provide guidance on UI architecture, performance optimizations, and security. Contribute towards the culture of innovation, collaboration, and continuous learning. Project Execution Delivery: Collaborate with product managers and UX designers to translate requirements into UI solutions. Ensure timely and high-quality delivery of UI features and enhancements. Required Skills Experience: 6+ years of experience in front-end/UI development. Expertise in JavaScript (ES6+), TypeScript, HTML5, and CSS3. Deep knowledge of js, Angular, or Vue.js, with experience in state management (Redux, Context API, Zu stand, etc.). Strong experience with Micro Frontends, Web Performance Optimization, and Progressive Web Apps (PWA). Familiarity with UI testing frameworks (Jest, React Testing Library, Cypress). Knowledge of RESTful APIs, GraphQL, and WebSocket s. Experience in implementing and maintaining Design Systems and Component Libraries. Strong understanding of DevOps, CI/CD, and cloud-based front-end deployments (AWS, Azure, GCP). Good communication skills with the ability to work with cross-functional teams. Nice to Have: Exposure to Web Assembly, Server-Driven UI, and AI-powered UI solutions. Experience with A/B Testing, User Behaviour Analytics, and Personalization. Understanding of Figma, Adobe XD, or Sketch for design collaboration. Competitive salary and leadership incentives. Opportunity to drive UI innovation in a product-driven organization. Health benefits, flexible work policies, and other perks.

We are looking for an experienced Human Resources professional with 6-8 years of experience in the software product industry. The ideal candidate will have a proven track record in managing HR processes for technology-driven teams, building a positive work culture, and aligning HR strategies with business objectives. This role requires a proactive individual with a strong knowledge of the tech ecosystem, excellent interpersonal skills, and the ability to adapt to a dynamic environment. Key Responsibilities: Talent Acquisition Employer Branding: Lead the recruitment lifecycle for technical and non-technical roles, ensuring the best talent acquisition practices. Build strong employer branding strategies to attract top-tier talent in the software industry. Partner with hiring managers to understand workforce needs and create effective hiring plans. Design and deliver onboarding programs tailored to software teams. Develop initiatives to foster employee engagement, collaboration, and retention in a fast-paced tech environment. Conduct regular employee pulse surveys and implement action plans. Performance Management Development: Implement robust performance management systems, including OKRs or KPIs tailored for product teams. Collaborate with leadership to create career development paths and training programs for software professionals. Facilitate regular feedback sessions and performance appraisals. De-boarding and Exit interview Inform the employee of their termination or discuss resignation. Create documents such as a letter of termination or release/experience letters. Ensure company-issued equipment, ID badges, keys, and parking permits are returned by the resigned/terminated employees. Revoke the employee s access rights and passwords to company systems. Conduct an exit interview. Coordinate knowledge transfer. Decide how to assign the employee s responsibilities and who will fill in temporarily. Ensure compliance with labour laws, industry standards, and internal policies relevant to software companies. Oversee HR operations, including payroll, benefits, and leave management, focusing on accuracy and timeliness. Maintain and update HR systems and records efficiently. Culture Building Change Management. Drive initiatives to nurture an innovation-driven and inclusive company culture. Act as a trusted advisor to leadership on organisational changes, team dynamics, and succession planning. Mediate and resolve complex employee relations issues. Leverage HR data and analytics to inform decision-making and improve workforce productivity. Prepare and present reports on hiring metrics, turnover rates, and employee satisfaction. Qualifications Skills: Bachelor s degree in human resources, Business Administration, or a related field (MBA/PGDM in HR preferred). 6-8 years of HR experience, with at least 3+ years in the product software/technology sector. Expertise in HRMS tools and recruitment platforms Strong understanding of tech roles, software development lifecycles, and organisational needs in a product-based setup. Knowledge of Agile methodologies and how they influence team structures and dynamics. Excellent communication, problem-solving, and stakeholder management skills. Work with a collaborative team in a fast-growing software product company. Opportunity to contribute to a high-impact, innovation-driven environment.

Data Management Enterprise Software Architect (Experience: 8+ Years) Data Dynamics, Inc. is a dynamic and innovative data management software company dedicated to providing enterprise-class data management software that addresses data compliance, governance, access and lifecycle management in a hybrid cloud environment. We are seeking a talented and experienced Software Architect to join our growing team and play a crucial role in shaping the architecture of our software solutions. As a Data Management Enterprise Software Architect at Data Dynamics Software Solutions India Pvt Ltd, you will be responsible for designing and overseeing the implementation of scalable and efficient data management systems. Your expertise in PostgreSQL and Elastic Database will be pivotal in shaping our architecture to meet the evolving needs of our clients. Key Responsibilities: Develop and communicate the overall architecture vision for our data management solutions. Design scalable and performant data management systems using PostgreSQL and Elastic Database technologies. Provide technical leadership to development teams, ensuring alignment with architectural best practices. Mentor and guide team members on effective utilization of PostgreSQL and Elastic Database in software solutions. Work closely with product managers, business analysts, and stakeholders to understand data management requirements. Collaborate with cross-functional teams to align architectural decisions with business goals. Database Expertise: Showcase expertise in PostgreSQL and Elastic Database to optimize database design and performance. Evaluate and recommend database technologies and features that enhance data management capabilities. Prototyping and Proof of Concepts: Create prototypes and proof of concepts to validate architectural decisions, especially related to data storage and retrieval. Assess new technologies and trends to identify opportunities for innovation in data management. Document and communicate data management architectural decisions, guidelines, and best practices. Create comprehensive system documentation, including database schemas, configurations, and deployment procedures. Qualifications: Bachelor s or Master s in Computer Science, Software Engineering, or a related field. Proven experience as a Software Architect with a focus on data management. Strong expertise in designing and implementing scalable, distributed, and high-performance data systems, particularly using PostgreSQL and Elastic Database. Proficiency in SQL and database optimisation techniques. Excellent communication and interpersonal skills. Leadership experience and the ability to mentor and guide development teams. Up-to-date knowledge of industry trends in data management.