Lead Cloud Data Engineer managing data pipelines and implementations on cloud platforms in Financial Services. Collaborating for enhanced data architecture and team mentorship.
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
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