Hybrid Data Engineering Enablement Consultant

at General Motors

• Job title: Data Engineering Enablement Consultant
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $129,400 - $173,150 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Terraform
• Location requirements: Hybrid, Warren, United States

About the role

• Data Engineering Enablement Consultant role facilitating data engineering inquiries and support for GM's data platforms. Partnering with technical teams to optimize processes and enhance customer experience.

Responsibilities

• Serve as primary point of contact for data domain and engineering inquiries, acting as a central knowledge hub and ensuring easy access to information.
• Provide first-level support and triage for all data-related issues including Databricks onboarding and configuration changes.
• Assist customers with data domain and engineering-related inquiries and process optimizations across GM’s data landscape.
• Guide teams on best practices, platform capabilities, and strategic recommendations across the Data ecosystem.
• Work proactively to reduce escalations and response times, improving overall customer experience.
• Maintain and continuously improve documentation, runbooks, FAQs, processes, and tools related to the Data ecosystem.
• Identify gaps in knowledge and process and codify artifacts that reduce repeat inquiries and improve self-service capabilities.
• Analyze customer inquiries and feedback to identify trends, pain points, and opportunities to improve both customer experience and platform adoption.
• Partner with platform and engineering teams to improve processes, technology stack, and documentation in order to reduce inbound inquiries and overall support demand.
• Collaborate with platform owners, governance, security, and engineering teams to ensure aligned guidance and consistent messaging across the Data ecosystem.
• Support measurement of customer satisfaction, inquiry response times, and demand trends, and use these insights to drive continuous improvement in services and processes.
• Contribute to a culture of excellence and responsiveness through continuous improvement, collaboration, and knowledge sharing.
• Partner closely with cross-functional teams to translate technical and business requirements into robust, efficient solutions.
• Participate in code reviews, promote best practices, and mentor engineers to raise engineering quality across the team.
• Optimize storage and compute resources for performance and cost efficiency.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related discipline.
• 5+ years of experience in data engineering, data platforms, analytics engineering, or related technical roles with significant exposure to modern cloud data platforms.
• Experience with Databricks platform.
• Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, GCP).
• Demonstrated ability to consult with technical and non-technical stakeholders, translating complex platform concepts into clear, actionable guidance.
• Strong skills in collaboration and written and verbal communication, including documentation, FAQs, and customer-facing enablement materials.
• Proven track record of identifying process or documentation gaps and driving improvements that reduce operational friction and repeat inquiries.
• Experience with CI/CD pipelines and modern DevOps practices (e.g., GitHub, Terraform).

Benefits

• medical
• dental
• vision
• Health Savings Account
• Flexible Spending Accounts
• retirement savings plan
• sickness and accident benefits
• life insurance
• paid vacation & holidays
• tuition assistance programs
• employee assistance program
• GM vehicle discounts and more