Description

You own the technical delivery, engineering standards, and team development for the HR Analytics India group, partnering directly with US-based architects and senior engineers.

This role is on-site.

Responsibilities

• Lead the India delivery team as the senior-most technical authority, owning release quality, velocity, and business alignment.
• Architect and build complex production data pipelines, semantic models, and scalable data products using Databricks and Snowflake.
• Define and enforce engineering governance, including code review discipline, testing standards, CI/CD practices, and incident response.
• Collaborate with US Information Architects on platform-level design, pattern definition, and joint solution reviews across time zones.
• Coach and develop Senior Data Engineers, raising their technical ceiling and business context depth.

Required Skills

• 12+ years of hands-on data engineering experience in large enterprise environments.
• 3+ years in a principal, lead, or senior-most technical capacity.
• Expert proficiency in SQL and Python, including PySpark and Spark SQL for distributed transformation.
• Deep expertise with Databricks (Delta Lake, Unity Catalog, Workflows, Structured Streaming, performance tuning).
• Production-scale experience with Snowflake (Iceberg tables, modern open table formats).
• Strong background with Microsoft Fabric (OneLake, semantic layers) and Teradata.
• Proven track record leading India-based delivery teams partnering with US functions across significant time zone gaps.

Preferred Skills

• Experience with Power BI and data visualization best practices.
• Deep business acumen in HR, finance, or supply chain domains.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree