Jobs → Data & Analytics → Data Architect

About the Role We are looking for an experienced Data Architect to join our team on a long-term engagement. This role focuses on designing and implementing scalable Lakehouse architectures using the Databricks ecosystem. Key Responsibilities • Design and implement end-to-end data architecture and engineering solutions using Databricks. • Develop scalable data ingestion and transformation pipelines using PySpark, Python, and SQL. • Build and optimize Lakehouse and Medallion architectures using Delta Lake. • Leverage Lakeflow and Unity Catalog for pipeline orchestration, governance, and data management. • Architect and execute ETL and data migrations from legacy platforms to Databricks. • Build reusable, metadata-driven and configuration-driven migration frameworks. • Implement data quality checks, validation, reconciliation, and performance optimization. • Establish CI/CD pipelines and automation practices for data engineering solutions. • Assess existing ETL workloads and define migration strategies, design patterns, and implementation roadmaps. • Provide technical leadership and collaborate with onshore/offshore engineering teams and client stakeholders. Requirements • Strong hands-on experience with Databricks, Lakeflow, Delta Lake, and Unity Catalog. • Proficiency in PySpark, Python, and SQL. • Proven experience in ETL modernization and migration to Databricks. • Strong understanding of Lakehouse and Medallion architecture. • Experience with data pipeline orchestration, CI/CD, data quality, and performance tuning. • Experience building scalable, reusable data engineering frameworks. • Excellent communication, client-facing, and technical leadership skills. Preferred Qualifications • Experience with Alteryx-to-Databricks migration. • Familiarity with ETL modernization and migration tools. • Experience with AI-assisted migration and automation approaches.