Senior Data Enablement Engineer

Scotiabank•Dallas, TX

23h•Onsite

About The Position

The Senior Data Enablement Engineer serves as a senior technical enablement leader and strategic interface between enterprise data platforms and the teams that consume them. The role drives scalable adoption, effective utilization, and measurable value realization of enterprise data platforms, services, and capabilities across the organization. It is highly technical but is not primarily development focused, providing technical and functional leadership across complex data enablement initiatives and translating platform capabilities, architecture standards, governance requirements, and engineering practices into practical, scalable consumption patterns. Working across platform engineering, architecture, data governance, security, infrastructure, and Line of Business teams, the role establishes consistent approaches for onboarding, adoption, and use of enterprise data capabilities. It identifies systemic adoption barriers, influences platform priorities, and creates reusable standards and enablement models. As a senior individual contributor, the engineer operates autonomously across complex initiatives, influences technical and business stakeholders, mentors other enablement resources, and helps shape the Data Enablement function. The position is based in Dallas, Texas. Scotiabank describes its flexible benefit programs as supporting employees’ family, financial, physical, mental, and social health needs.

Requirements

Demonstrated experience leading data enablement, enterprise data platform adoption, data architecture, technical product ownership, data engineering, or large-scale data transformation initiatives.
Strong experience with modern enterprise data environments and cloud technologies such as Microsoft Azure, Databricks, Google Cloud, or comparable platforms.
Deep understanding of enterprise data architecture and modern data platform concepts, including ingestion, transformation, orchestration, storage, processing, analytics, and data consumption.
Strong practical understanding of data governance disciplines, including metadata, lineage, data quality, classification, ownership, access controls, and lifecycle management.
Ability to translate complex platform, architecture, and governance concepts into actionable guidance and scalable consumption patterns.
Experience developing platform standards, reference patterns, decision frameworks, onboarding models, or enterprise technical documentation.
Experience leading complex technical discovery and requirements discussions involving multiple stakeholder groups.
Typically 7–10 years of relevant experience in roles such as Data Enablement Engineer, Data Platform Lead, Data Architect, Senior Data Engineer, Platform Enablement Lead, Technical Product Lead, or Data Platform Consultant.

Nice To Haves

Spanish fluency is considered an asset.

Responsibilities

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 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.
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 and promote consistent platform usage, data ownership, documentation, naming, and lifecycle-management practices.
Establish and maintain enablement assets such as reference patterns, decision frameworks, onboarding playbooks, implementation guidance, operating models, FAQs, and troubleshooting resources.
Define documentation and knowledge standards and establish ways to transition frequently requested guidance to repeatable self-service.
Build and support communities of data champions, platform advocates, and subject-matter experts.
Lead resolution of complex cross-functional issues involving multiple platforms, teams, or organizational boundaries.
Facilitate technical and strategic discussions when requirements, ownership, responsibilities, or platform direction are ambiguous.
Develop recommendations and decision materials for complex platform or operating-model questions; surface systemic risks, dependencies, and organizational friction.
Lead cross-functional working groups or initiatives to improve the enterprise data consumption experience.
Serve as a senior escalation point for complex platform adoption, onboarding, and functional issues, distinguishing issue types and routing them toward sustainable resolution.
Lead functional validation and user acceptance activities for significant platform capabilities and changes.
Establish feedback mechanisms that capture patterns across consumers and partner with engineering teams to improve usability and reduce friction.
Establish measures for platform adoption, enablement effectiveness, onboarding maturity, customer experience, and use of recommended platform patterns.
Analyze adoption and operational trends to identify barriers, capability gaps, and improvement opportunities.
Connect platform usage and enablement activities to measurable technology and business outcomes.
Identify ways to reduce onboarding effort, shorten time to value, improve self-service, and increase adoption of standardized capabilities.
Measure the effectiveness of enablement interventions and refine approaches based on real-world outcomes.
Develop executive-ready insights on adoption trends, customer experience, systemic barriers, and opportunities requiring leadership attention.
Capture successful implementations and convert them into reusable enterprise patterns.
Mentor other enablement resources and help shape the evolution of the Data Enablement function.