Product Manager

The First Vice President of Data Engineering will be responsible for managing various key data implementations across the organization and providing people and technology leadership. The role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems. Responsibilities Head the development and delivery of enterprise‑scale mission‑critical data platforms, i.e. Databricks Lakehouse and GCP services, to meet critical business priorities Establish the roadmap and vision for enterprise‑scale data engineering, executing on this roadmap to deliver shared frameworks for the broader enterprise application development teams Build technical excellence by defining and implementing robust data engineering standards and quality frameworks that govern data pipeline development, testing, and deployment across the data platform Establish, enforce, and champion modern DataOps and CI/CD practices within the team, leading the automation of deployment, testing, and monitoring to accelerate delivery speed and ensure data quality Provide technical leadership and hands‑on guidance to the Data Engineering team to ensure timely and high‑quality project delivery and enhancements, and mentor engineers in advanced PySpark, SQL, dbt, Fivetran and cloud‑native development to maximize team output Collaborate with multiple teams, understand the overall enterprise Data Architecture, and develop end‑to‑end solutions for data sourcing, data processing/integration, data provisioning and delivery Deliver projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring projects are delivered on time and within budget Focus on designing and developing highly scalable, efficient, and reliable data infrastructure to scale and compute to meet business objectives Lead, coach, and develop team while creating a vision for the team and educating cross‑functional teams on how to leverage data to identify opportunities to increase revenue and performance Drive IT solutions to ensure they meet business needs with a pragmatic and integrated approach to the design of technical solutions Remain up to date on key technology, business, and industry trends Perform other duties and responsibilities as assigned Requirements Bachelor’s degree in computer science, MIS or related degree 10+ years of experience managing Data Engineering and leading Technology Teams 7+ years of experience working with SQL Server and other database management systems with cloud and on‑prem data ecosystems 7+ years of experience working with cloud‑native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on‑prem databases including SQL Server Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing modern data architecture and strong hands‑on experience Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt). Strong experience with a breadth of data integration tools, databases, big data platforms, cloud based data platforms and data streaming technologies Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction Strong experience with breadth of data integration tools, databases, big data platforms, cloud based data platforms and data streaming technologies Expertise within Data Architecture and deep understanding of the overall data in an enterprise and the ability to understand data in the context of business goals Proficient in building from the ground up a modern next‑generation Lakehouse platform Experience in enterprise implementation, leadership experience, strategic planning, strong business acumen Preferred Financial Services experience Pay and Benefits: The pay range for this position is $130,000.00 – $140,000.00 per year. Benefits guide will be provided. This is a permanent, fully onsite position based in San Diego, CA. Application Deadline: This position is anticipated to close on July7,2026. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. #J-18808-Ljbffr