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Data Engineering Enablement Consultant

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General Motors

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Location:
United States , Austin

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Contract Type:
Not provided

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Salary:

129400.00 - 173150.00 USD / Year

Job Description:

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The consultant will focus on consultation, enablement, and continuous improvement. They will work closely with data/software engineers, data scientists, architects, business, analysts, governance teams, and platform teams to improve customer experience, reduce escalations, and streamline the path to value on our platforms.

Job Responsibility:

  • 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)

Nice to have:

  • Experience serving in a platform, advisory, or consulting capacity supporting large-scale data or analytics platforms
  • Familiarity with GM data governance, security, and compliance practices, including how they apply to Cloud Data Platforms
What we offer:
  • 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

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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