VP, Analytics Engineering

Banc of California • Durham, NC

21h • $121,000 - $202,000

About The Position

The VP, Analytics Engineering will lead the design and delivery of enterprise data products on the bank’s Data Foundation Platform. Reporting to the VP, Data Engineering & Delivery Manager, this hands-on, player-coach leadership role oversees a small team and works alongside engineers while partnering across the broader data organization and the business. This position combines deep hands-on expertise in Snowflake, dbt, and SQL with the ability to set standards, deliver quality data products, and develop talent in a SOX-controlled environment.

Performs all duties in accordance with the Company’s policies and procedures, all U.S. state and federal laws and regulations, wherein the Company operates.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Engineering, Software Engineering, or a related technical discipline.
• 8+ years of progressive experience in Data Engineering, Analytics Engineering, Data Warehouse Development, or related roles.
• 3+ years of experience leading technical teams, managing engineering delivery, and developing employees.
• 4+ years of deep hands-on experience delivering enterprise data solutions using Snowflake, dbt, SQL, and Microsoft Azure.
• 3+ years of advanced experience with production-grade dbt projects, including modular models, macros, testing, documentation, lineage, freshness, snapshots, and incremental processing.
• 5+ years of experience in dimensional and relational modeling, data warehousing, Medallion Architecture, semantic models, and modern ELT.
• Advanced SQL development, debugging, performance tuning, and query optimization skills.
• Experience building well-tested, reliable data pipelines using dbt tests, data contracts, and data-quality checks as part of standard development practice.
• Working knowledge of batch and CDC ingestion patterns using Azure Data Factory or equivalent technologies.
• Experience with Python or another modern language for data processing, automation, APIs, and scripting.
• Working knowledge of Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.
• Experience with Git, Azure DevOps or comparable tools, CI/CD, pull requests, and automated quality gates.
• Strong understanding of data governance, metadata, lineage, privacy, security, auditability, and regulatory controls.
• Experience delivering data solutions in a SOX-controlled environment, including change management, control evidence, and audit support.
• Ability to balance hands-on leadership, people management, delivery oversight, and strategic planning in a fast-paced environment.
• Experience leading Analytics Engineering, Data Engineering, or Data Architecture in a regulated organization.
• Banking or financial services experience, including loans, deposits, treasury products, customers, accounts, or regulatory reporting.
• Experience applying agentic AI and AI-assisted development tools to accelerate engineering delivery, including establishing standards for governed, auditable use of AI in development workflows.
• Experience with data-quality or observability tools such as dbt tests, Great Expectations, Soda, Monte Carlo, or comparable platforms.
• Relevant Snowflake, dbt, Microsoft Azure, or comparable cloud data certifications.
• High school diploma or equivalent required.

Responsibilities

• Lead and work alongside a small team of Analytics Engineers, Data Architects, and Modelers; hire, coach, and develop talent.
• Design, build, and deliver scalable data solutions hands-on using Snowflake, dbt, SQL, and Microsoft Azure.
• Establish engineering standards for dbt, SQL, data modeling, documentation, version control, testing, and deployment.
• Guide reusable dbt models, macros, and semantic models, and lead dimensional data modeling, including Star Schemas and Fact and Dimension tables.
• Own the transformation and modeling layers of the platform.
• Build quality into development through dbt tests, data contracts, documentation, and peer review, partnering with the Quality Engineering team, which owns enterprise test frameworks and release certification.
• Champion agentic engineering across the team by applying AI coding agents and AI-assisted development tools to accelerate dbt model development, code generation, refactoring, and documentation, with governed human review.
• Evaluate and adopt emerging agentic development patterns and tooling for the Analytics Engineering workflow, setting standards for the safe, auditable use of AI in a SOX-controlled environment, and partner with Quality Engineering, which owns the Agentic Test Harness.
• Embed dbt tests and quality gates into Git-based CI/CD pipelines as part of standard development practice and support root-cause analysis of production data defects.
• Optimize Snowflake performance and cost across query tuning, warehouse utilization, and transformation design.
• Manage priorities, capacity, and delivery commitments, and partner with Product, BI, Governance, Operations & Quality, and the business.
• Participate in interviewing and hiring decisions.
• Prepare and deliver employee performance evaluations, goal planning, and counseling.
• Manage, support, coach, and train employees.
• Follow all established policies and procedures.
• Perform other duties and projects as assigned.

Benefits

• 401k plan which includes a company match and immediate vesting
• comprehensive insurance options including medical, dental, vision, AD&D, supplemental life, long-term disability, pre-tax Health Savings Account with employer contributions, and pre-tax Flexible Spending Account (FSA)
• adoption, surrogacy, and fertility assistance
• paid parental leave and family support solutions including care options for your family
• paid vacation days, holidays, and volunteer time off
• tuition reimbursement
• an annual mentorship program
• leadership development resources
• access to LinkedIn Learning

What This Job Offers

• Job Type: Full-time
• Career Level: Manager