Technical Lead, Data

Marsh McLennan

. 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 a

Posted 4/21/2026full-timeBoston • Massachusetts, North Carolina • 🇺🇸 United StatesSenior💰 $139,000 - $277,900 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSparkSQLUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonSparkdata engineeringdata modelsmedallion architectureCI/CDautomated testinginfrastructure-as-codeDataOps

Soft Skills

leadershipmentoringcommunicationcollaborationproblem-solvingintellectual curiosityperformance managementexpectation settingteam cohesionstakeholder engagement