Senior Data Architect

As an employee of our company, you will collaborate with each department to create and deploy disruptive products. Come work at a growing company that offers great benefits with opportunities to moving forward and learn alongside accomplished leaders. We're seeking an experienced and outstanding member of staff.

This position is both creative and rigorous by nature you need to think outside the box. We expect the candidate to be proactive and have a "get it done" spirit. To be successful, you will have solid solving problem skills.

Responsibilities

• Lead the design of a data lakehouse that supports the requirements of ADAS/AV, including 4D spatial-temporal querying and multi-modal data fusion.
• Develop custom partitioning schemes, Z-ordering, and hidden indexing strategies tailored for LiDAR, radar, and video metadata.
• Solve challenges regarding data consistency, deterministic "replay" of vehicle logs, and massive-scale data lineage
• Develop algorithms for data deduplication and "intelligent tiering," ensuring that rare "edge-case" driving data is preserved while optimizing the cost-to-performance ratio of the petabyte-scale lake.
• Partner with ML teams to ensure the data architecture supports emerging paradigms like Foundation Models and End-to-End Autonomous Driving architectures.

Must Have

• PhD in Computer Science, Distributed Systems, Database Systems, or a related quantitative field.
• 5+ years of experience in data systems, with a significant track record of designing large-scale distributed architectures.
• Deep, "under-the-hood" knowledge of Apache Iceberg (specification and implementation) and the Hadoop ecosystem (HDFS, Spark, Trino/Presto).
• Evidence of contributions to the field, such as publications in top-tier conferences (e.g., SIGMOD, VLDB, ICDE, OSDI) or a history of significant contributions to major open-source data projects.
• Expert-level understanding of query optimization, file format internals (Parquet/Avro), and the trade-offs of distributed consensus protocols.

Nice to have

• Automotive Safety Standards: Understanding of data integrity requirements for ISO 26262 or SOTIF (Safety of the Intended Functionality).
• Geospatial Mastery: Experience with H3, S2, or other spatial indexing systems for high-frequency GPS and trajectory data.
• Cloud Economics: Proven ability to manage the financial architecture of massive cloud deployments (AWS/Azure/GCP).

Pay: ₹40,000,000.00 - ₹90,000,000.00 per year

Benefits:

• Commuter assistance
• Health insurance
• Paid sick time
• Paid time off

Work Location: Remote