VP Data Engineering
Role Overview
This is a senior VP-level role leading a team of about 15 data engineers across three teams, responsible for managing and evolving a GCP-based data platform to ensure reliable, scalable data pipelines. Day-to-day involves setting technical direction, mentoring engineers, and collaborating with data operations, product, and commercial teams to ingest and process alternative datasets for financial services clients. The hire will have significant impact on data quality and revenue by maintaining infrastructure that directly supports customer needs.
Perks & Benefits
The role is fully remote for US-based candidates, with a preference for the east coast, offering flexibility in work location. It provides opportunities for career growth through leadership of a sizable engineering team and involvement in high-impact projects for top investment firms and global brands. The culture emphasizes ownership, craft, and continuous improvement, with a focus on rigorous standards typical in financial services.
Full Job Description
This role is remote (US-based; east coast preferred) Company Overview Join a dynamic team that's redefining consumer data analytics. We empower top investment firms and global consumer and corporate brands with cutting-edge insights into consumer spending, leveraging privacy-compliant data across geographies. Our real-time intelligence and merchant-level benchmarks give clients a competitive edge—and you'll be at the forefront of it all. Role Summary We're looking for a seasoned VP of Data Engineering to lead our data engineering team and take ownership of the infrastructure that powers everything we do. Because data is our business, this role carries significant weight: the reliability, scalability, and quality of our data pipelines directly impacts our customers and our revenue. You'll manage ~15 engineers across 3 data engineering teams, set technical direction across our GCP-based data platform, and work closely with data operations, product, and commercial teams to ensure we can continuously ingest, process, and deliver alternative datasets at scale — with the rigour that financial services clients demand. Your Main Responsibilities Team Leadership
Lead, mentor, and grow a team of data engineers, building a culture of ownership, craft, and continuous improvement Own hiring, onboarding, and performance management for the data engineering function Act as a technical role model — setting high standards while remaining approachable and supportive
Data Platform & Infrastructure
Own the architecture, reliability, and evolution of our GCP data platform — including BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, and GCS Design and maintain robust, scalable pipelines for ingesting, transforming, and serving diverse alternative datasets (web, CPG, transaction data, etc.) Drive infrastructure best prPlease mention the word **IDYLLIC** and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Similar jobs
Found 6 similar jobs