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Metro role at a well-known financial firm with seniority creates moderate applicant competition.
Deep Databricks, Delta Lake, and enterprise data architecture requirements limit transferability across industries.
Explicit 15+ years requirement plus mandatory Databricks and architecture skills raises strictness.
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Drive end-to-end delivery of data engineering platforms focusing on Databricks and cloud architectures with strong governance and execution discipline.
Own solution architecture design, ensuring scalable, secure, and high-performing data platforms aligned with business outcomes.
Lead global, cross-functional teams and manage stakeholder communication on delivery progress, risks, and mitigation plans.
15+ years of experience in technology delivery with leadership exposure.
Strong hands-on expertise in Databricks, Spark (Python/Scala), and cloud platforms (AWS/Azure).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experience with CI/CD, DevOps, and data pipeline automation.
Experienced in leading large-scale data modernization and transformation programs with enterprise-scale data architecture design.
Strong technical delivery leadership combining hands-on cloud data engineering and architecture governance.
Comfortable managing distributed, global teams and aligning diverse stakeholders across engineering, QA, and business roles.