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Tier-1 brand and metro location increase competition, but senior principal and niche Databricks expertise limit density.
Deep Databricks, Spark, and enterprise data platform architecture requirements make transfers across industries difficult.
Explicit 10+ years, principal-level and mandatory Databricks/Spark/platform architecture requirements make filters highly strict.
Set technical direction and architecture for data platforms across multiple teams, focusing on Databricks, Spark, and related technologies.
Define enterprise standards and lead platform strategy including build-vs-buy decisions and scalability, migration, and cost governance.
Mentor senior engineers and collaborate with leadership to shape long-term technical strategy and platform roadmap.
Bachelor's or Master's degree in computer science or related technical field.
10+ years of data engineering experience including principal or architect-level responsibilities.
Expertise in Databricks architecture, Spark, distributed systems, and enterprise data platform strategies.
Work Experience Required: 10+ years in data engineering, including principal or architect-level experience.
Proven track record making high-impact architectural decisions on large-scale data platforms.
Experience influencing and aligning multiple teams without formal authority in an agile, high-growth fintech environment.
Domain experience ideally includes banking, e-commerce, credit cards, or payment processing with both SaaS and on-prem architectures.