Key Responsibilities: Design and implement scalable data architecture and end-to-end ETL/ELT pipelines Analyze diverse data sources and create high-quality, structured data layers Lead large-scale data migrations to cloud-based platforms (Azure, AWS, GCP) Optimize complex SQL queries and database performance Collaborate with analysts, data scientists, and business stakeholders Ensure data governance, quality, and regulatory compliance Mentor junior engineers and promote engineering best practicesQualifications: 8+ years in data engineering and architecture Strong experience with cloud platforms (Azure, AWS, GCP) and big data tools (Spark, Hadoop) Hands-on with modern data warehouses (Snowflake, Azure Synapse) Expertise in SQL, data pipelines (Airflow, Data Factory), and database tuning Knowledge of data governance frameworks (GDPR, HIPAA)