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Strong employer brand and metro location but niche Databricks specialty and seniority reduce applicant density.
Banks prefer finance-domain experience and governance expertise, reducing cross-industry transferability.
Explicit seniority bands, mandatory Databricks certification and platform experience make filters strict.
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Build reusable enterprise assets for Data Engineering Center of Excellence (CoE).
Define platform standards, best practices, and governance policies for Databricks (DBX) usage.
Integrate Databricks with AWS/Azure cloud services, implement Unity Catalog, data lineage, access governance, auditing, data quality, observability, and FinOps monitoring.
12–18 years of IT experience with 6–10 years in Data Engineering/Big Data platforms.
2–5 years of experience in large-scale data processing solutions on Databricks Platform.
Proficiency in DBX, PySpark, Spark SQL, Delta Lake, SQL Warehouse, AWS Cloud Platform, CI/CD, and Data Governance.
Experience in Banking and Financial Services domain.
Experienced in defining and enforcing data platform standards and governance in large enterprises.
Skilled in integrating Databricks with cloud platforms (AWS/Azure) and managing data engineering governance tools.
Able to operate effectively in cross-cultural, geographically distributed teams communicating with counterparts in Singapore and Paris.