Monnoyeur
Lead Data Engineer
About this role
At ARKANCE US, we empower design, engineering, construction, and manufacturing teams to work smarter, deliver stronger outcomes, and build a better world. As part of the global ARKANCE Group - a trusted partner with deep industry expertise, innovative technology solutions, and high-performing teams across 19 countries - we bring together technology, consulting, and services that help organizations transform how they design, build, and operate. Our culture is built on our people and our values - guided by integrity, innovation, customer success, education, financial responsibility, and an employee-first mindset. We believe that when great people come together around a shared purpose and set of values, we create lasting value for our customers, our communities, and each other. Job Description Summary Position Overview: The Lead Data Engineer is a senior delivery role responsible for building and delivering the data engineering work that turns ARKANCE's data and AI direction into working reality for clients. Where the advisory team shapes what a client should do, this role builds it: the pipelines, models, integrations, and data foundations that make data and AI usable in practice. The Lead Data Engineer works on both sides of the business. On the client side, they lead the hands-on delivery of data engineering across engagements, taking direction from the advisory team and producing solutions that hold up in production. Internally, they help build the frameworks, templates, and reusable assets that let ARKANCE deliver this work consistently and at scale, shaping both the internal data capability of the practice and the client-facing delivery approaches it relies on. As a lead, the role sets the technical standard for data engineering delivery, mentors others as the capability grows, and partners closely with the Data & AI Consultant to ensure a clean bridge from advisory intent to delivered outcome. It is a build-and-deliver role at heart, with the seniority to define how the work is done well.Job Description Essential Functions Client Delivery
- Lead the hands-on delivery of data engineering across client engagements, including data pipelines, integrations, transformations, and the data foundations that support analytics and AI.
- Take direction from the advisory team and the Data & AI Consultant, converting assessed needs and designed target states into working, production-grade solutions.
- Own the technical quality of data engineering deliverables, ensuring they are reliable, maintainable, and fit for the client's real operating environment.
- Work directly with client technical teams to deploy, integrate, and hand over solutions in a way the client can sustain.
- Advise on the practical realities of data infrastructure, surfacing constraints and risks early so delivery plans stay grounded. Internal & Client-Facing Frameworks
- Build and maintain the reusable data engineering frameworks, patterns, and accelerators that let ARKANCE deliver consistently across clients.
- Shape the internal data capability of the practice, including the tooling, pipelines, and data foundations behind ARKANCE's own accelerators, benchmarks, and delivery assets.
- Develop client-facing delivery approaches - reference architectures, integration patterns, and standards - that raise the quality and repeatability of engagements.
- Contribute to the practice's technical standards and definition of done for data engineering work. Technical Leadership