Job Description

Role & responsibilities Define and implement data architecture solutions based on business requirements. Design and optimize data storage, modeling, and integration strategies. Create Conceptual, Logical, and Physical Data Models (OLTP, OLAP, Dimensional Models). Architect end-to-end data solutions on data lakes, warehouses, and real-time analytics platforms. Collaborate with cross-functional teams to ensure seamless data flow and integration. Lead data governance, data security, and data quality initiatives. Develop best practices and reusable frameworks for data processing and analytics. Participate in defining data strategy and roadmaps for analytics and reporting. Ensure compliance with data privacy and security regulations. Troubleshoot and optimize data architecture for performance and scalability. Professional & Technical Skills: Must-Have Skills: Proficiency in Data Architecture Principles and best practices. Strong understanding of data modeling and database design. Experience in data integration, data migration, and ETL processes. Knowledge of data governance, data quality management, and metadata management. Familiarity with data security and privacy best practices. Experience with Cloud Data Platforms (AWS, Azure, GCP) and services like Redshift, Synapse, or BigQuery. Hands-on experience with Data Warehousing design and implementation. Understanding of data architecture patterns (Data Ingestion, Curation, Consumption, Reporting). Experience with DataOps, DevOps, and Agile Methodologies. Strong troubleshooting skills for monitoring and resolving data issues. Good-to-Have Skills: Experience in Big Data technologies (Hadoop, Spark, Kafka). Knowledge of Data Fabric, Data Lineage, and Data Security frameworks. Hands-on experience with data visualization tools (Power BI, Tableau, Looker). Familiarity with automating data quality checks and validation processes. Strong knowledge of SQL, Python, R, or other scripting languages. Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, or a related field. 5 to 8 years of experience in Data Architecture and Data Engineering. Experience in leading data projects and collaborating with multiple teams. Perks and benefits Competitive salary based on experience and skill level. Work Timing: UK (Immediate Joiner will be preferred)