We re seeking an innovative Senior Data Architect to design and implement our enterprise data platform, a cornerstone of our data strategy. Reporting to the Director of Data Science, the Senior Data Architect will be responsible for creating the technical foundation that supports our machine learning experiments, agentic AI workflows, and curated data sets. In this role, you will leverage Databricks as our core technology platform to build scalable, efficient data architecture that enables advanced analytics and AI capabilities across the organization. This role offers a significant opportunity to shape the future of our data infrastructure and drive innovation through thoughtful architectural decisions. We are seeking a technically proficient leader who combines deep expertise in modern data platforms with a collaborative approach to solving complex data challenges in a growing, fast-paced environment. What You Will Do Strategic Architecture Design Reporting to the CTO, design and implement a comprehensive data architecture strategy utilizing Databricks as the primary technology platform. Develop architectural patterns and frameworks that support machine learning experiments, agentic AI workflows, and the creation of curated data sets. Define data modeling approaches, storage strategies, and processing frameworks that balance performance, cost, and scalability requirements. Establish data governance practices, security controls, and compliance measures within the architectural design. Create architectural roadmaps that align with the company s overall data and AI strategy. Technical Implementation Lead the technical implementation of the data platform architecture on Databricks, ensuring best practices for lakehouse architecture, Delta Lake implementation, and optimization of compute resources. Design and implement data pipelines that support both batch and real-time processing needs across various data sources and destinations. Establish efficient data ingestion patterns, transformation workflows, and data quality frameworks within the Databricks ecosystem. Develop architectural solutions for complex data challenges, including data versioning, feature stores for ML, and integration with AI services. Create reference architectures and technical documentation that guide implementation teams and ensure architectural consistency. Cross-Team Collaboration Work closely with data science teams to understand and support their requirements for machine learning experimentation and model deployment. Collaborate with AI engineering teams on architectural patterns that enable agentic AI workflows and advanced automation. Partner with data engineering teams to implement the architectural vision and ensure operational excellence. Engage with product and business stakeholders to translate business requirements into architectural decisions. Provide technical guidance and mentorship to implementation teams on architectural best practices. Innovation and Optimization Stay current with the evolving Databricks platform and incorporate new capabilities into the architectural roadmap. Research and evaluate complementary technologies that enhance the core Databricks platform capabilities. Continuously optimize the data architecture for performance, cost efficiency, and scalability. Identify opportunities to leverage emerging patterns in data architecture, such as data mesh, data fabric, or domain-driven design. Develop proof-of-concepts to validate architectural approaches before full implementation. What You Will Bring 8+ years of experience in data engineering, with at least 5 years focused on data architecture roles. 3+ years of hands-on experience with Databricks, including Delta Lake, Spark, and the broader Databricks ecosystem. Deep expertise in designing modern data platforms that support advanced analytics, machine learning, and AI use cases. Strong understanding of data modeling techniques for both structured and unstructured data in distributed computing environments. Experience designing architectures that support machine learning workflows, including feature engineering, model training, and deployment. Proficiency with data orchestration tools and frameworks that integrate with Databricks. Hands-on experience with SQL, Python, and Scala for data processing and analysis. Knowledge of data governance, security, and compliance considerations in enterprise data architectures. Experience with cloud platforms (AWS, Azure, or GCP) and their native data services. Familiarity with modern software development practices, including version control, CI/CD, and infrastructure as code. Experience with designing architectures that support real-time and streaming data processing. Strong problem-solving skills and the ability to navigate complex technical and organizational challenges. Excellent communication skills with the ability to translate complex technical concepts to both technical and non-technical audiences. Bachelor s degree in Computer Science, Information Systems, or related field; Master s degree preferred. Professional certifications related to Databricks, cloud platforms, or data architecture are a plus.

We began a movement when we started Resilinc in 2010 with our belief in the power of supply chain to be a force for good, to improve the lives of people and our communities. Our vision is for the world to have a place where suppliers and customers can collaborate securely with transparency and trust as the foundation. Today Resilinc s flagship supply chain visibility, mapping and AI-powered monitoring and predictive analytics platform is widely considered the Gold Standard for resilience. We wake up every day with the power of our important Mission driving our every action. Join our passionate, highly motivated and VIRTUAL global team that is energized and working hard to positively impact the world. We re seeking a results-driven Director of Data Operations to lead the transformation of our Product Operations teams from manual processes to automated, data-driven operations. Reporting to the Chief Technical Officer, the Director will be responsible for developing and implementing automation strategies that optimize team performance while maintaining service level agreements. In this role, you will oversee global operations teams, collaborating closely with data science and data engineering departments to design and deploy innovative automation solutions that increase efficiency, accuracy, and scalability. This role offers a significant opportunity to drive organizational transformation through process optimization, technology implementation, and team development in a fast-paced, growing environment. We are seeking a forward-thinking leader who thrives in cross-functional collaboration and is passionate about leveraging data and automation to solve complex operational challenges. This role will be based in our India Center of Excellence. What Your Will Do Strategic Planning Reporting to Chief Technology Officer, collaborate with executive leadership to define the automation and operational excellence vision aligned with the company s overall strategy and goals. Develop comprehensive automation strategies that leverage AI and machine learning to transform manual processes into efficient, scalable operations. Design and implement data-driven operations frameworks that optimize resource allocation while ensuring consistent delivery against established SLAs. Analyze operational metrics and performance data to identify automation opportunities and process improvements. Work with Product and Engineering teams to align automation priorities with product roadmaps and technical capabilities. Operations Management Oversee day-to-day operations of Product Operations teams, ensuring efficient execution of current processes while driving transition to automated workflows. Establish and maintain robust SLAs, KPIs, and performance metrics to monitor operational efficiency and team productivity. Implement change management practices to facilitate successful transition from manual to automated processes. Create and maintain documentation of operational processes, automation systems, and contingency plans. Develop resource allocation models that optimize team size and composition as automation initiatives progress. Technical Leadership Partner with Data Science and Data Engineering teams to identify, prioritize, and implement automation solutions that align with business objectives. Evaluate and recommend technology solutions and tools to support automation initiatives. Ensure data quality and integrity across operational processes and automated systems. Lead proof-of-concept projects to validate automation approaches before full-scale implementation. Establish monitoring and alerting systems to ensure automated processes operate reliably and meet quality standards. Talent Development Build and lead high-performing operations teams, creating clear career paths that evolve as automation increases. Develop training programs to upskill team members for more complex analytical and oversight roles as manual tasks become automated. Foster a culture of continuous improvement, innovation, and data-driven decision making. Mentor team members to develop technical and leadership capabilities. What You Will Bring 8+ years of experience in operations management, with at least 5 years focused on data operations, process automation, or similar fields. 5+ years people management experience, including leading teams through significant transformation initiatives. Proven experience implementing automation solutions that successfully reduced manual effort while maintaining or improving quality and performance. Strong understanding of data engineering principles, automation technologies, and their practical applications in operational environments. Experience establishing and managing to service level agreements (SLAs) in operational environments. Demonstrated ability to collaborate effectively with technical teams, including data scientists and engineers, to translate operational needs into technical requirements. Strong analytical skills with the ability to use data to drive decision-making and measure performance improvements. Experience with change management methodologies and practices to drive organizational transformation. Proficiency with project management methodologies, preferably including both Agile and traditional approaches. Knowledge of process optimization techniques such as Lean, Six Sigma, or similar methodologies. Experience with workflow automation tools, data pipeline technologies, and operations management systems. Excellence in stakeholder management and the ability to communicate complex technical concepts to non-technical audiences. Strong business acumen with the ability to align operational strategies with business goals and objectives. Bachelor s degree in Computer Science, Information Systems, Business Administration, or related field; Master s degree preferred. Certifications in relevant areas (e.g., PMP, Agile, Six Sigma, ITIL) are a plus. . Your talent acquisition contact can provide you with a FAQ list for your country. Everyone at Resilinc is eligible for healthcare coverage, participation in the employee stock option program, retirement benefits, paid time off and learning and development opportunities. Resilinc is well-funded ( read more about our recent investment from Vista Equity Partners ), profitable, and shows no signs of slowing down. We run lean, work fast, and pivot quickly to accommodate our customers in order to keep supply chains moving. For more information visit our website: Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc

The Senior/Staff Data Scientist at Resilinc plays a crucial role in shaping our SaaS products by developing scalable and innovative machine learning algorithms. This position requires a strong analytical mindset to solve complex challenges and leverage data for strategic decision-making. The ideal candidate will combine technical expertise with creative problem-solving to drive impactful solutions. What You Will Do Act as an integral member of the Data Science team within Resilinc. Conduct literature reviews to identify suitable algorithms for addressing specific business problems, with the ability to adapt and customize these algorithms as needed for implementation. Design, build, and implement scalable machine learning pipelines. Take ownership of large-scale, complex projects, ensuring they align with business objectives and are delivered on time. Lead end-to-end project initiatives, from ideation to implementation, while ensuring efficiency and thorough execution. Collaborate proactively with stakeholders across the company, including Engineering, Product Management, Sales, Solutions Consulting, and Customer Success Management teams. Articulate and present analytical findings and progress to cross-functional teams within Resilinc. What You Will Bring A BE, MS, or PhD in Operations Research, Supply Chain, Industrial Engineering, Computer Science, Statistics, Data Science, or a related discipline. 5-10 years of relevant industry experience. Deep expertise in advanced data science methodologies and tools, staying abreast of industry trends. Experience driving the adoption of new technologies and methodologies across teams. Proficiency in architecting solutions using LLMs, Generative AI, and Agentic AI, including evaluating frameworks, optimizing model performance, and addressing both ethical and practical considerations. Proficiency in Python, SQL, and a solid grasp of object-oriented programming, data structures, and development methodologies. Experience with instrumentation for continuous model performance measurement and auto-retraining processes. Demonstrated ability to develop complex algorithms and integrate them into scalable software solutions. A comprehensive understanding of various Machine Learning techniques, including but not limited to Linear Non-linear models, Tree-based algorithms, Neural Networks, Classification, Clustering, What Will Make You Stand Out Background in the Supply Chain industry. Strong familiarity with distributed data processing and storage frameworks, particularly Databricks and Apache Spark. Experience in developing Generative AI models within secure, isolated environments. Proficiency in fine-tuning LLMs and working with vector databases such as ChromaDB, as well as open-source LLM models. Strong understanding of graph theory, graph algorithms, and Graph Neural Networks (GNNs), along with hands-on experience in graph-based data processing and storage technologies such as NetworkX, GraphX, Neo4j, or similar frameworks. Experience applying NLP techniques to challenges such as data normalization and other complex text-related problems. Hands-on experience with Linux-based environments, including shell scripting, process management, and optimizing system performance for large-scale data science workloads. Demonstrable experience managing the full lifecycle of machine learning models, including deployment and monitoring on cloud platforms like AWS and Azure. Proven experience with Python-based web application frameworks such as Flask, Django, Streamlit, or similar technologies. Ability to design and deliver compelling, high-impact demos that effectively showcase ideas and solutions to both internal and external stakeholders. Proven ability to coach and mentor team members at all experience levels, fostering a collaborative and high-performance culture.

We began a movement when we started Resilinc in 2010 with our belief in the power of supply chain to be a force for good, to improve the lives of people and our communities. Our vision is for the world to have a place where suppliers and customers can collaborate securely with transparency and trust as the foundation. Today Resilinc s flagship supply chain visibility, mapping and AI powered monitoring and predictive analytics platform is widely considered the Gold Standard for resilience. We wake up every day with the power of our important Mission driving our every action. Join our passionate, highly motivated and VIRTUAL global team that is energized and working hard to positively impact the world. Join our dynamic team where we are driving innovation and building cutting-edge solutions. As a senior member of our engineering team, you will have the opportunity to work on impactful projects that make a difference. We are looking for a highly skilled engineer with a passion for technology and a drive for continuous improvement. What You Will Do Key Responsibilities: Software Development: Design, develop, and maintain robust, scalable, and high-performance software solutions using Java 8 and its advanced features. Lead the development of microservices architecture, ensuring high availability, scalability, and fault tolerance. Database Management: Work with RDBMS systems, with a strong emphasis on PostgreSQL. Experience with other databases is a plus. Design and implement graph database solutions (Neo4j, Amazon Neptune, or similar) to handle complex relationships and large-scale data. Optimize queries and database performance for both relational and graph-based storage. Backend Development: Develop backend services and RESTful APIs using Spring Boot. Implement and manage authentication, authorization, and other security measures within applications. Cloud & Infrastructure: Deploy, manage, and scale applications in cloud environments, particularly Azure. Experience with Kubernetes or other container orchestration tools is highly desirable. Problem-Solving & Logical Thinking: Apply strong logical and analytical thinking to troubleshoot complex issues and optimize solutions. Participate in code reviews, providing constructive feedback to peers. Collaboration & Leadership: Work closely with cross-functional teams, including product managers, designers, and QA engineers, to deliver high-quality products. Mentor junior developers and contribute to the growth of the team. Startup Experience: Prior experience in a startup environment is beneficial, demonstrating the ability to work in fast-paced and agile settings. Continuous Learning: Stay up to date with the latest industry trends, technologies, and best practices. Continuously seek opportunities to improve development processes and the quality of the codebase. What You Will Bring Bachelor s or master s degree in computer science, Engineering, or a related field. 5+ years of experience in software development with a focus on Java, Spring Boot, and microservices. Expertise in RDBMS, with strong experience in PostgreSQL. Experience working with graph databases (Neo4j, Amazon Neptune etc.). Familiarity with cloud platforms like Azure and containerization tools like Kubernetes. Strong problem-solving skills and logical thinking. Excellent communication skills, with the ability to articulate complex technical concepts. Experience in Agile/Scrum development methodologies. Ability to thrive in a startup environment and adapt to changing priorities. What Will Make You Stand Out Experience with CI/CD pipelines and automation tools. Knowledge of front-end technologies (e.g., Angular, React) is a plus. Understanding of DevOps practices and tools. Familiarity with performance testing and optimization techniques. 0 - 0 a year If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com. Benefits We offer comprehensive benefits that are specific to each country. Your talent acquisition contact can provide you with a FAQ list for your country. Everyone at Resilinc is eligible for healthcare coverage, participation in the employee stock option program, retirement benefits, paid time off and learning and development opportunities. Resilinc is well-funded ( read more about our recent investment from Vista Equity Partners ), profitable, and shows no signs of slowing down. We run lean, work fast, and pivot quickly to accommodate our customers in order to keep supply chains moving. For more information visit our website: Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc