Director, Data Engineering
Core
Provide hands-on technical leadership for multiple data-engineering teams supporting the Wealth business, including retirement and retail wealth capabilities.
Role type
Director, Data Engineering (hands-on IC with people leadership)
Builds
End-to-end data pipelines for the Wealth domain
Domain
Financial services / Wealth management
Deliverable
production ML models
Required skills
Data engineering leadership, SQL, relational database concepts, data architecture, modern end-to-end data pipeline design, Databricks, Python code review, data quality, error handling, observability, technical architecture, solution design, production incident management
Preferred skills
Databricks and Spark, API and integration concepts, leading globally distributed or offshore teams, cloud-based data platforms (Azure, AWS, GCP), automated data-quality frameworks, CI/CD practices, financial services domain experience, AI-assisted development, pipeline automation, anomaly detection
Technologies
Databricks, Spark, SQL, Python, Azure, AWS, Google Cloud Platform
Responsibilities
Lead four data-engineering teams and technical leads; review technical designs and code; guide development and operation of end-to-end data pipelines; establish engineering standards for data quality and monitoring; partner with stakeholders to translate business needs into data solutions; support critical production incidents; develop technical talent through coaching and mentoring
Seniority
Director, hands-on IC with people leadership