Head of Data Engineering & Platform

Mercury
San Francisco, New York
Workplace: RemoteFull timeUSD 289,700 - 362,100Function: Administration & Executive AssistanceSkills: ["Engineering culture"]

Lead and grow a team of senior data engineers to build Mercury’s core data infrastructure and long-term data platform strategy. Define architecture, tooling, and reusable data products that power reliable analytics, enable AI and operational systems, and support self-service across the company. Establish trusted, resilient data foundations including governance, observability, privacy, security, and regulatory compliance while partnering across Engineering, Product, Data Science, Security, and Infrastructure.

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Mercury
Mercury
1 day ago

Head of Data Engineering & Platform

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Last checked: 8 hours agoStatus: Live

Job Summary

Lead and grow a team of senior data engineers to build Mercury’s core data infrastructure and long-term data platform strategy. Define architecture, tooling, and reusable data products that power reliable analytics, enable AI and operational systems, and support self-service across the company. Establish trusted, resilient data foundations including governance, observability, privacy, security, and regulatory compliance while partnering across Engineering, Product, Data Science, Security, and Infrastructure.
Location: San Francisco, New York
Workplace: Remote
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Director level

Key Responsibilities

  • •Build, lead, and develop a high-performing team of senior data and analytics engineers for Mercury’s core data infrastructure.
  • •Define and execute the long-term data platform strategy, delivering architecture, tooling, and reusable data products for analytics, AI, and operational systems.
  • •Build a platform that enables trusted data to be easily discovered, understood, and used by both people and AI systems, including semantic models and metadata.
  • •Establish a trusted, resilient data platform by driving best practices for reliability, observability, data quality, governance, privacy, security, and regulatory compliance.
  • •Partner with Engineering, Product, Data Science, Security, and Infrastructure leaders to ensure the data platform accelerates product development and decision-making.

Pay and Benefits

Salary: USD 289,700 - 362,100
Equity and Bonus:Equity

Key Requirements

  • •10+ years of relevant experience, including 5+ years leading data or engineering teams.
  • •Architected modern data platforms at scale, including data foundations, semantic layers, metadata, and platform capabilities for analytics, AI, machine learning, and operational systems.
  • •Technical judgment and the ability to evolve data architecture through periods of rapid growth while balancing long-term governance with near-term needs.
  • •Deep expertise in modern data infrastructure, including data modeling, orchestration, streaming, storage systems, metadata, and governance.
  • •Experience partnering with Security, Legal, Compliance, and Privacy teams to meet privacy, security, and regulatory standards for a regulated financial institution.
Experience:Fintech
Skills:Engineering culture
Languages:English

Company Brief

Mercury
Provides banking and financial infrastructure for startups and small businesses, offering business checking accounts, payments, debit cards, venture debt integrations, and treasury services via a developer-friendly platform.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn