Senior Data Engineer

About the Role We are seeking a Senior Data Engineer to lead data platform initiatives across enterprise clients. You will architect and govern large-scale data solutions using cloud platforms (Cloudera, Teradata, Snowflake, Databricks), mentor a team of engineers, and drive adoption of modern data engineering practices. This role bridges technical leadership and client advisory — you’ll own data strategy for major accounts and be accountable for delivery and quality. Key Responsibilities • Lead data platform architecture & design — design enterprise data lakes, warehouse schemas, and ETL frameworks for mission-critical banking and financial systems • Manage technical teams — mentor 3–5 engineers; drive code reviews, design decisions, and capability building • Govern data quality & security — design metadata management, data lineage, and governance frameworks for regulated environments (banking) • Own client relationships — advise on data modernization strategies, translate business requirements into technical roadmaps • Optimize platform operations — monitor costs, performance, and security across cloud platforms (Snowflake, Databricks, Cloudera) • Drive innovation — evaluate new tools, establish best practices, share knowledge across teams Required Qualifications • Advanced proficiency in: Data Modeling for complex schemas (dimensional, normalized, data vault) Cloudera OR Teradata — deep operational and architectural knowledge Snowflake OR Databricks — production deployment, tuning, governance • 8+ years in data engineering, with 3+ years in a leadership/architect role • Proven experience managing and mentoring teams • Banking or highly regulated data environment experience — familiarity with compliance (AML/KYC), data lineage, audit trails • Strong communication skills — comfortable presenting to C-suite and non-technical stakeholders Recommended Skills • Experience with both Cloudera/Teradata AND Snowflake/Databricks • Advanced data governance — Collibra, Alation, or custom frameworks • Data modeling for banking — PSD2, GDPR, Basel III data requirements • Hands-on work with Apache Spark, Delta Lake, Iceberg • Cloud cost optimization and FinOps What We’re Looking For • Strategic thinker — sees beyond individual projects to platform-wide implications • Mentor & leader — enjoys developing talent and setting technical direction • Problem solver — navigates ambiguity in complex data environments • Client-focused — translates technical concepts for diverse audiences