# Head of Data Engineering & Platform

**Company:** [Mercury](https://hotfix.jobs/companies/mercury)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $290k – $362k/yr
**Experience:** 10+ years
**Skills:** Data Engineering, Data Platforms, Data Modeling, Data Orchestration, Data Streaming, Data Storage, Semantic Layers, Metadata, Data Governance, Data Quality, Observability, Machine Learning, AI, Data Security, Regulatory Compliance
**Posted:** 2026-08-11

> Leads Mercury’s data engineering organization and long-term platform strategy, building reliable, governed infrastructure and reusable data products for analytics, AI, operational systems, and self-service. Requires 10+ years of relevant experience, including 5+ years leading data or engineering teams.

## Job Description

## Responsibilities

- Build, lead, and develop a high-performing team of senior data and analytics engineers responsible for core data infrastructure.
- Define and execute the long-term data platform strategy, including architecture, tooling, and reusable data products for analytics, AI, operational systems, and self-service.
- Build a platform that makes data discoverable, understandable, and reusable by people and AI systems through semantic models, metadata, and developer tooling.
- Establish a trusted, resilient data platform through best practices for reliability, observability, data quality, governance, privacy, security, and regulatory compliance.
- Partner with Engineering, Product, Data Science, Security, and Infrastructure leaders to accelerate product development, business operations, and decision-making.

## Requirements

- 10+ years of relevant experience, including 5+ years leading data or engineering teams.
- Experience architecting modern data platforms at scale, including data foundations, semantic layers, metadata, and platform capabilities supporting analytics, AI, machine learning, and operational systems.
- Technical judgment and organizational influence to evolve data architecture through rapid growth while balancing long-term platform investments with near-term product 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 the privacy, security, and regulatory standards expected of a regulated financial institution.

## Compensation and Benefits

- Total rewards include base salary, equity (stock options/RSUs), and benefits.
- US employees: **$289,700–$362,100** base salary.
- Canadian employees: **CAD $273,800–$342,200** base salary.
- Offers vary based on experience, expertise, geographic location, and internal pay equity.

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