Data Architect
pal
Job Description
- Design and implement end-to-end Lakehouse and Mesh architectures using Snowflake, Databricks, or Google BigQuery.
- Lead the migration of complex legacy systems into scalable cloud-native environments, focusing on reducing "analytics friction" (a core PalTech service goal).
- Build resilient, automated ETL/ELT pipelines that handle massive volumes while maintaining sub-second latency for real-time reporting.
- Implement automated quality gates (using tools like Dataplex) and ensure end-to-end data lineage that is "audit-ready" for regulated industries like Healthcare and BFSI.
- Ensure data foundations are optimized for Generative AI and predictive modeling, enabling features like natural language querying for business users.