Lead Data Engineer

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

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.

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.