Lead Data Engineer
About The Position
Our US client portfolio is growing fast — and getting more complex by the day. We’re partnering with large, enterprise retailers alongside a strong mix of mid‑market organisations. These clients expect robust, scalable, and insight‑driven data platforms delivered at pace — with senior technical leadership they can trust. To support this growth, we’re hiring a US‑based Lead Data Engineer: a hybrid role that blends hands‑on technical leadership, delivery ownership, and senior stakeholder engagement. You’ll sit close to our clients — geographically and culturally — enabling faster decisions, stronger relationships, and exceptional delivery. This is a critical role in shaping how we build, scale, and evolve our data platform as we move deeper into AI‑enabled data solutions.
Requirements
- Proven experience with MSSQL, Azure, and Snowflake
- Demonstrable delivery of large‑scale data engineering projects with complex timelines and stakeholders
- Advanced proficiency in T‑SQL and Python
- Hands‑on experience with Databricks and modern cloud data ecosystems
- Deep understanding of designing production‑grade, scalable data architectures
- Confident stakeholder management skills with the ability to influence at senior levels
- Thrives in fast‑paced, delivery‑focused environments with ambiguity
Nice To Haves
- Experience building or supporting data platforms that enable AI / ML use cases
- Exposure to additional languages, frameworks, or tools that support next‑generation data solutions
Responsibilities
- Take ownership of the technical direction and delivery of our data platform, combining strategic oversight with hands‑on engineering leadership.
- Lead and shape the evolution of our cloud‑native data platform, ensuring it’s scalable, resilient, and AI‑ready
- Design, build, and evolve large‑scale data pipelines supporting analytics and next‑generation AI use cases
- Act as a senior technical partner to US‑based client stakeholders, navigating complex organisations and competing priorities
- Own delivery across complex, multi‑stakeholder projects — balancing speed, quality, and long‑term platform health
- Drive best practices in data quality, security, governance, and reliability
- Identify risks early and proactively resolve them before they impact delivery
- Evaluate and introduce new technologies to improve performance, scalability, and time‑to‑market
- Lead, mentor, and develop a team of data engineers, fostering a high‑performance and collaborative culture
- Partner closely with Product Managers, Product Owners, Delivery, and Customer Success to define scope and execute effectively
- Set and maintain high engineering standards across architecture, coding, and ways of working
- Support hiring and the ongoing development of engineering talent as we scale
Benefits
- Hybrid & Flexible Working: Work from anywhere benefits, plus summer hours and extra days off for life’s big moments (including your birthday and wedding).
- Generous Time Off: 26 days PTO (accrued with service), paid volunteer days, and full support for your wellbeing, including mental health resources.
- Career & Learning: Access to a top-tier learning platform, career progression plans, and support to create your ideal home workspace.
- Health & Financial Benefits: Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan.
- Personal Perks: Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
11-50 employees
