Lead Data Engineer
Core
Design, build, maintain, and tune scalable batch and streaming data pipelines for a consumer and community banking team, ensuring security, resilience, and observability.
Role type
Lead Data Engineer
Builds
Scalable data pipelines, data lake and data warehousing solutions, and workflow orchestration for banking operations.
Domain
Financial Services / Banking / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
AWS, Snowflake, Redshift, BigQuery, Spark, Flink, Trino, Kafka, SQL, ETL, Data Modeling, Data Governance, Agile, AI-assisted development validation
Preferred skills
Erwin, Iceberg, Hudi
Technologies
AWS, Redshift, BigQuery, Snowflake, Spark, Flink, Kafka, SQL, ETL
Responsibilities
Design and build scalable batch and streaming data pipelines; develop workflow orchestration for data movement; translate business needs into technical data solutions; apply AI capabilities to accelerate pipeline design while validating outputs; establish data governance processes; mentor team members on data publication best practices; perform advanced quantitative analysis on large datasets.
Seniority
Senior, hands-on IC with leadership responsibilities
