Define and execute the vision, roadmap, and operating model for Data Engineering in alignment with Banner’s broader data, analytics, and AI strategy
Lead and grow a high-performing organization of engineers
Build and scale governed, high-quality data products that support enterprise analytics, operational intelligence, machine learning, research, and AI-enabled use cases
Drive engineering standards for ingestion, transformation, testing, CI/CD, observability, documentation, lineage, reliability, performance, and cost optimization
Establish and evolve data modeling, semantic layer, and metrics-governance practices
Partner with Data Platform, AI/ML Platform, Architecture, Security, and Governance leaders to shape the enterprise data ecosystem and ensure scalable, compliant, and secure data access
Oversee the design and operation of both batch and streaming data pipelines
Translate business priorities into execution plans, measurable outcomes, team objectives, and delivery commitments
Drive platform and tooling decisions that improve developer productivity.

Must possess strong knowledge of data engineering and analytics as normally obtained through the completion of a Bachelor's degree in Data Science, Computer Science, Information Technology or a related field
Must have 10+ years of experience in data engineering, analytics engineering, or data platform development
Must have 5+ years of people leadership experience
Proven success defining engineering strategy and scaling teams that deliver enterprise-grade data platforms
Strong hands-on knowledge of modern cloud data platforms and technologies such as Databricks, Apache Spark, Delta Lake, SQL, Python, dbt, Airflow, Dagster, or similar tools
Strong understanding of lakehouse, warehouse, and domain-oriented data architecture patterns
Experience building trusted semantic and metrics layers
Experience partnering cross-functionally with analytics, data science, AI/ML, architecture, governance, and business teams
Strong understanding of performance, scalability, resiliency, and cost management in modern data platforms
Exceptional communication and stakeholder-management skills
Experience leading in environments with ambiguity, organizational change, and rapidly evolving priorities.

Director, Data Engineering

Key skills