Lead Data Engineer

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.

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

• 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

• Set and uphold the technical standard for data engineering delivery across the practice.
• Mentor and develop other engineers as the delivery capability grows, sharing patterns and raising the bar on quality.
• Partner with the Data & AI Consultant to ensure advisory intent translates cleanly into delivered outcomes, and feed delivery insight back into how the practice scopes and estimates.
• Stay current with the data engineering landscape - platforms, tooling, and integration approaches - and bring proven practice into ARKANCE's delivery.

Additional Responsibilities

• Perform all other duties as assigned.
• Duties and responsibilities are subject to change based on business needs.

Decision-Making & Autonomy

Operates with significant autonomy in data engineering delivery, technical design, and the frameworks and standards that support it. Serves as the senior technical authority for data engineering across client delivery and internal capability, partnering with advisory and delivery leadership to ensure the work is delivered well and scales. Sets the technical standard others work to, and escalates commercial and engagement-shaping decisions to advisory and delivery leadership.

Qualifications

• Substantial hands-on data engineering experience, including data pipelines, integrations, transformations, and production data infrastructure.
• Demonstrated ability to deliver data engineering work in a client or customer-facing setting, translating requirements into reliable, maintainable solutions.
• Experience building reusable frameworks, patterns, or standards that improve delivery quality and repeatability, not just one-off builds.
• Strong grounding in data architecture, data quality, and governance, with the judgment to make sound trade-offs under real-world constraints.
• Working understanding of how data foundations enable analytics and AI, and the ability to partner with advisory colleagues on data and AI initiatives.
• Technical leadership experience, including setting standards and mentoring other engineers, with the seniority to define how the work is done well.
• Familiarity with the AECO industry and the Autodesk ecosystem preferred, or the ability to build that context quickly.
• Bachelor's degree in Computer Science, Engineering, Data, or a related field, or equivalent practical experience.