Principal Data Engineering Lead

Evolution USA; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Data visualization tools

Scientific data environments

AI-driven data solutions

Job summary

Evolution USA is seeking a technical leader to own customer-facing data initiatives from concept to delivery. You will guide a team of engineers, design scalable pipelines, and collaborate with data science and product groups to solve complex scientific and engineering challenges.

You will mentor engineers, drive architectural decisions, and build reusable data tooling while ensuring successful outcomes for clients and stakeholders in a fast-moving environment.

Qualifications

• Extensive experience in data engineering, data modeling and building data pipelines.
• Strong Python and SQL proficiency.
• Proven leadership experience with project delivery and engineering teams.
• Track record of leading complex, customer-facing implementations.
• Ability to balance technical depth with stakeholder management and business outcomes.

Responsibilities

• Leading a team of engineers while remaining hands-on technically.
• Taking ownership of complex project delivery from requirements gathering through production deployment.
• Designing and building scalable data pipelines, data models, and data products using Python.
• Working closely with customers and cross-functional stakeholders to solve challenging scientific and data engineering problems.
• Driving technical design discussions and architectural decisions.
• Mentoring engineers and helping elevate technical standards across the team.
• Building reusable frameworks, components, and tools that enable future scalability.
• Navigating ambiguity, removing blockers, and ensuring successful customer outcomes.

Skills

Data engineering

Data modeling

Python

SQL

Technical leadership

Customer engagement

Communication

Mentoring

Job description

We're partnering with an innovative software company operating at the intersection of AI, scientific research, and data engineering. Their platform helps some of the world's most advanced R&D organizations unlock value from complex scientific data, enabling faster discoveries and better outcomes through modern data and AI technologies.

They're looking for a technical leader who enjoys solving difficult problems, thrives in fast-moving environments, and wants to own customer-facing projects from concept through delivery.

This is a highly visible role where you'll combine deep technical expertise with leadership, mentoring, and customer engagement. You'll work across engineering, product, and scientific teams to design and deliver scalable data solutions that have a direct impact on customers and the business.

What you'll be doing:

• Leading a team of engineers while remaining hands-on technically
• Taking ownership of complex project delivery from requirements gathering through production deployment
• Designing and building scalable data pipelines, data models, and data products using Python
• Working closely with customers and cross-functional stakeholders to solve challenging scientific and data engineering problems
• Driving technical design discussions and architectural decisions
• Mentoring engineers and helping elevate technical standards across the team
• Building reusable frameworks, components, and tools that enable future scalability
• Navigating ambiguity, removing blockers, and ensuring successful customer outcomes

What we're looking for:

• Extensive experience in data engineering, data modeling and building data pipelines
• Strong Python and SQL expertise
• Proven technical leadership experience with responsibility for project delivery and engineering teams
• A track record of successfully leading complex, customer-facing implementations
• The ability to balance technical depth with stakeholder management and business outcomes
• Someone who is naturally curious, loves learning, and enjoys tackling unfamiliar challenges
• A proactive self-starter who takes ownership rather than waiting for direction
• Comfortable making decisions and driving progress in environments where requirements may not always be perfectly defined
• Excellent communication skills and the confidence to lead technical conversations with both engineers and non-technical stakeholders

Nice to have:

• Experience with data visualization tools, dashboards, or modern application development
• Exposure to scientific, healthcare, pharmaceutical, biotech, manufacturing, or laboratory data environments
• Experience working with AI-driven data solutions

Why this role?

You'll join a business operating in one of the most exciting areas of technology today, where AI, data engineering, and scientific innovation converge. The opportunity offers genuine ownership, significant technical influence, and the chance to solve problems that have real-world impact.