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VP Data Engineering

4 hours, 11 minutes ago
United States
Full-time
Executive
Data Engineer
DevOps and Infrastructure
Apache Airflow dbt Feature Engineering GCP Machine Learning Pulumi Python SQL Terraform
Apply Now
Consumer Edge

Consumer Edge

Empowering Global Markets with Unrivaled Consumer Intelligence

Professional Services
View All Jobs 5

Description

  • Lead, mentor, and develop a team of data engineers across three data engineering teams.
  • Own hiring, onboarding, and performance management for the data engineering function.
  • Set technical direction for the GCP-based data platform and its evolution.
  • Own the architecture, reliability, and performance of core data infrastructure, including BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, and GCS.
  • Design and maintain scalable pipelines for ingesting, transforming, and serving alternative datasets.
  • Drive infrastructure best practices across cost optimization, observability, incident response, and disaster recovery.
  • Ensure data security, access controls, and compliance standards for regulated financial services clients.
  • Translate business priorities and client requirements into a technical roadmap.
  • Partner with data operations, data science, product, and commercial teams to accelerate dataset onboarding and expand platform capabilities.
  • Represent data engineering in leadership discussions and contribute to company strategy and data quality standards.

Requirements

  • 10+ years of experience in data engineering, including at least 3 years in a leadership or management role.
  • Experience managing managers and teams.
  • Proven experience building and operating large-scale data pipelines on Google Cloud Platform.
  • Deep expertise with the GCP data stack, including BigQuery, Dataflow, Pub/Sub, GCS, and Cloud Composer.
  • Hands-on experience with dbt Core or dbt Cloud, including modeling patterns, testing frameworks, and documentation standards.
  • Strong understanding of data pipeline design, ELT/ETL patterns, data modeling, and workflow orchestration.
  • Solid grasp of data governance, data quality frameworks, and security best practices.
  • Experience with Terraform and/or Pulumi for infrastructure-as-code provisioning and cloud resource management.
  • Strong proficiency in Python and SQL.
  • Experience in fintech, alternative data, financial data, or another data-as-a-product environment is strongly preferred.
  • Familiarity with alternative data challenges such as diverse formats, inconsistent schemas, high ingestion volumes, and data provenance requirements.
  • Experience supporting data science or ML teams with feature engineering infrastructure is a plus.
  • Familiarity with data licensing, provenance tracking, or data vendor management is a plus.
  • Experience with data mesh or data-as-a-product organizational models is a plus.
  • Open source contributions or published technical work are a plus.

Benefits

  • Annual base salary of $270,000–$300,000, based on experience.
  • Performance-based bonus opportunity.
  • Company equity.
  • 401(k) matching.
  • Subsidized health benefits.
  • Paid parental leave.
  • Flexible and generous time off.
  • Work-from-home flexibility.

Interested in this position?

Apply directly on the company website

Apply Now

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