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Job summary
Tata Consultancy Services is seeking a Databricks Architect with over 5 years of data engineering experience, either based in Marlborough, MA or fully remote with travel required. The candidate should possess deep expertise in the Databricks Lakehouse Platform, be proficient in Python, PySpark, and SQL, and have strong cloud experience. Responsibilities include designing scalable data pipelines, ensuring data quality, and collaborating with functional teams. This position offers opportunities to work in a dynamic environment with cutting-edge technologies.
Qualifications
5+ years of hands-on data engineering experience, including 3 years in Databricks/Spark.
Deep expertise in the Databricks Lakehouse Platform, involving Delta Lake and structured streaming.
Expert-level proficiency in Python, PySpark, and advanced SQL skills.
Strong understanding of data modeling and ETL/ELT design patterns.
Experience with major cloud providers (Azure, AWS, GCP).
Responsibilities
Design and deploy robust batch and streaming data pipelines using PySpark and Spark SQL.
Implement data quality frameworks and ensure accuracy of Customer 360 data.
Monitor and optimize Databricks jobs and Spark clusters for performance.
Collaborate with cross-functional teams to deliver consumption-ready datasets.
Skills
Data engineering experience
Databricks expertise
Proficiency in Python and PySpark
Strong SQL skills
Cloud proficiency (Azure, AWS, GCP)
Data warehousing concepts
Software engineering practices
Data pipeline development
Data quality implementation
Performance optimization
Tools
Databricks
Terraform
AWS DevOps
GitHub Actions
Job description
Tata Consultancy Services is seeking a Databricks Architect with over 5 years of data engineering experience, either based in Marlborough, MA or fully remote with travel required. The candidate should possess deep expertise in the Databricks Lakehouse Platform, be proficient in Python, PySpark, and SQL, and have strong cloud experience. Responsibilities include designing scalable data pipelines, ensuring data quality, and collaborating with functional teams. This position offers opportunities to work in a dynamic environment with cutting-edge technologies.