Hybrid Technical Lead, Data

at Marsh McLennan

• Job title: Technical Lead, Data
• Job type: Full Time
• Experience level: Senior
• Salary: $139,000 - $277,900 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Python, Spark, SQL, Unity
• Location requirements: Hybrid, Boston, United States

About the role

• Hands-on Technical Lead guiding a squad of data engineers at Marsh. Delivering technical solutions and engaging with business stakeholders on data initiatives.

Responsibilities

• Lead a delivery squad. You'll run a pod of 4-8 data engineers (employees and contractors) assembled against a business outcome. You set the technical direction, decompose work, manage sprint-level execution, and are accountable for what the squad ships.
• Build with your hands. You write code. You build pipelines. You debug production issues. You're comfortable in SQL, Python, and Spark, and you use them regularly, not as a party trick, but as your primary tools.
• Design before you build. You think in terms of data models, medallion architectures, ingestion contracts, and reusable patterns. You design solutions that are maintainable and that the next engineer can understand without an archaeology expedition.
• Engage with the business. You're not building pipelines into a void. You'll work directly with Engagement Leads and business stakeholders to understand what they need, why they need it, and what "done" looks like.
• Drive engineering standards. CI/CD, version control, testing, code review, documentation: these aren't aspirational for you, they're how you've always worked.
• Operate on a modern stack. The platform is Databricks (Unity Catalog, Delta Lake, Spark, medallion architecture) running on AWS and Azure. You'll work with infrastructure-as-code, Git-based workflows, and pipeline orchestration tooling.

Requirements

• 5+ years of hands-on data engineering experience, with at least some time leading or mentoring other engineers
• Strong proficiency in SQL, Python, and Spark, used recently and regularly, not years ago
• Real experience with cloud data platforms (Databricks strongly preferred; Snowflake, Synapse, or similar accepted) on AWS, Azure, or GCP
• Demonstrated ability to lead a mixed team of employees and contractors: setting expectations, managing performance, building cohesion across employment types
• Fluency with modern engineering practices: Git, CI/CD, automated testing, infrastructure-as-code, DataOps
• The instinct to understand why something is being built, not just how.
• Intellectual curiosity about the business domain you're working in
• Clear communication skills; you can explain a technical tradeoff to a business leader and a business requirement to an engineer with equal ease.

Benefits

• Health and welfare benefits
• Tuition assistance
• 401K savings and other retirement programs
• Employee assistance programs