Senior Data Enablement Engineer

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

As a Senior Data Enablement Engineer, you will serve as a senior technical enablement leader and strategic interface between enterprise data platforms and the teams that consume them. You will be responsible for driving scalable adoption, effective utilization, and measurable value realization of enterprise data platforms, services, and capabilities across the organization.

This role is highly technical in orientation but is not primarily development focused. You will provide technical and functional leadership across complex data enablement initiatives, translating platform capabilities, architecture standards, governance requirements, and engineering practices into practical and scalable consumption patterns.

You will work across platform engineering, architecture, data governance, security, infrastructure, and Line of Business teams to establish consistent approaches for onboarding, adoption, and utilization of enterprise data capabilities. You will identify systemic barriers to adoption, influence platform priorities, and create reusable standards and enablement models that allow teams to consume data capabilities efficiently, securely, and at scale.

As a senior individual contributor, you will be expected to operate autonomously across complex initiatives, influence technical and business stakeholders, mentor other enablement resources, and help shape the evolution of the Data Enablement function.

What You’ll Do

Enterprise Platform Enablement & Customer Onboarding

• Lead technical enablement and onboarding for complex or strategic consumers of enterprise data platforms.
• Design and evolve scalable onboarding frameworks covering platform capabilities, access models, workspace and environment strategies, supported service patterns, governance requirements, and operational responsibilities.
• Establish reusable onboarding patterns that reduce complexity, improve consistency, increase self-service, and accelerate time to value.
• Lead discovery and intake activities for complex initiatives, translating business objectives and technical requirements into actionable platform adoption strategies.
• Coordinate dependencies across platform engineering, architecture, governance, security, infrastructure, operations, and Line of Business teams.

Governance, Standards & Responsible Data Usage

• Partner with data governance, architecture, security, privacy, risk, and platform teams to operationalize enterprise data requirements.
• Translate expectations for metadata, lineage, data quality, classification, ownership, retention, and access into practical consumption and onboarding patterns.
• Embed governance requirements into enablement processes rather than treating governance as a downstream checkpoint.
• Define and promote consistent platform usage, data ownership, documentation, naming, and lifecycle-management practices.

Technical Knowledge & Enablement at Scale

• Establish and maintain enterprise-grade enablement assets including reference patterns, decision frameworks, onboarding playbooks, implementation guidance, operating models, FAQs, and troubleshooting resources.
• Define documentation and knowledge standards that can be adopted by platform and enablement teams.
• Establish mechanisms that allow frequently requested guidance to transition from high-touch enablement to repeatable self-service.
• Build and support communities of data champions, platform advocates, and subject-matter experts that extend enablement…