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Bangalore location and strong investor backing increase interest, but seniority and fintech data specialization limits applicants.
High because fintech payments, banking integrations and audit/regulatory requirements create strong domain-specific experience needs.
High due to explicit 8+ years, 4+ years management, regulated environment and specialized lakehouse and governance requirements.
Own and lead the Data Engineering platform including ingestion pipelines, lakehouse layers (bronze, silver, gold), orchestration, data quality, governance, and cost control.
Ensure reliable, high-quality, and compliant data delivery supporting Finance, Compliance, and business decision-making, while enabling self-serve access for users.
Grow and manage the data engineering team; act as technical lead capable of hands-on coding, debugging, and architectural decisions including major platform migrations.
8+ years in data engineering with at least 4 years managing a data engineering team with senior engineers reporting in.
Experience in regulated or audited environments; familiarity with GDPR, PCI DSS, DORA, SOC 2, or ISO 27001 is mandatory.
Deep expertise in modern data engineering practices including batch and streaming ingestion, change data capture, layered data modeling, orchestration, and data quality/testing.
Work Experience Required: 8+ years data engineering; Notice Period: Not explicitly mentioned in the JD.
Senior-level leader with experience running production-scale data engineering pipelines and lakehouse/warehouse platforms serving multiple teams.
Operationally involved leader who can ship code (SQL, Python), debug issues, and drive major platform decisions end-to-end.
Preferably experienced in fintech, payments, banking or exchanges, with a track record of implementing data governance frameworks and handling complex regulated financial data environments.