- Strong Databricks Architect Profile with end-to-end Lakehouse ownership
- Mandatory (Experience 1) – Must have 10+ years of software engineering experience with atleast 5+ years in Data Engineering with hands on exposure to Databricks and strong ownership of end-to-end data pipeline development.
- Mandatory (Experience 2) – Must have atleast 5+ years of expertise across the Databricks ecosystem — Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Workflows, Unity Catalog
- Mandatory (Tech skill 1) – Must have worked at architecture level, owning end-to-end design through deployment
- Mandatory (Tech skill 2) – Must have strong experience with Python and SQL for data processing and Apache Spark for performance tuning & scalability
- Mandatory (Tech skill 3) – Must have experience in large-scale data warehousing & advanced data modeling (3NF and dimensional) across batch and real-time systems
- Mandatory (AI Exposure) – Must have at least a basic working understanding of how AI services or tools work
- Mandatory (Communication) – Must have strong stakeholder management & requirement-gathering experience with US or UK clients
- Mandatory (Company) – Must come from a B2B IT services or IT consulting background
- Mandatory (Note 1) – CTC is inclusive of 5% variable
Pay: ₹510,705.92 - ₹1,870,364.09 per year
Work Location: In person
