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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringanalytics engineeringcloud data platformsDatabricksCI/CD pipelinesDevOps practicesGitHubTerraformprocess optimizationdocumentation

Soft Skills

collaborationwritten communicationverbal communicationcustomer enablementconsultationproblem-solvingmentoringcontinuous improvementknowledge sharingcustomer experience

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software EngineeringBachelor’s degree in Data Engineering