Data Engineering Manager

General Motors

. Lead, develop, and inspire a team of data engineers and technical leads.

Posted 9/23/2026full-timeAustin • Texas • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data engineering teams, developing scalable data products, and implementing data governance and quality practices. Proficient in cloud data platforms, data modeling, and delivering production systems with a focus on automation and continuous improvement.

Highest-signal resume keywords

Data Engineering LeadershipCloud Data PlatformsData Quality ManagementEnterprise-Scale Data PlatformsTechnical Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Data ModelingData GovernanceData QualityDistributed Data PipelinesIncident ResponseAutomationInfrastructure as CodeContinuous IntegrationLarge-Scale Analytics SystemsLakehouse Architecture

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCoachingRelationship Building

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Information TechnologyBachelor's Degree in Data Science

Industry Keywords

Data IngestionData ProcessingData TransformationTelemetry DataTime-Series DataTest DataService-Level ExpectationsChange ManagementTechnical RoadmapsProduction Support Practices

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead, develop, and inspire a team of data engineers and technical leads.
Set the roadmap, priorities, and execution strategy for engineering data products.
Translate engineering, analytics, and machine learning needs into scalable delivery plans.
Guide data ingestion, processing, transformation, cataloging, quality, and publication.
Establish reusable patterns for raw, normalized, and analytics-ready data layers.
Drive data quality, observability, lineage, governance, security, and operational readiness.
Partner with vehicle engineering, calibration, diagnostics, performance engineering, data science, platform engineering, and product teams.
Prioritize competing requests and manage scope, dependencies, risks, and delivery commitments.
Support multiple data formats and high-volume engineering, telemetry, time-series, and test data.
Promote reusable architecture and reduce duplicate pipelines across engineering organizations.
Establish production support practices, incident response, runbooks, service health metrics, and continuous improvement.
Champion automation, infrastructure as code, continuous integration and delivery, testing, and secure cloud deployment.
Communicate technical strategy, delivery status, tradeoffs, and risks to senior leadership.
Build relationships with internal customers and ensure data products are discoverable and usable.
Develop talent through coaching, feedback, career planning, and meaningful technical opportunities.
Lead change management as the platform expands to new data sources, users, and use cases.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field, or equivalent experience.
Ten or more years of experience in software engineering, data engineering, platform engineering, or a related technical discipline.
Five or more years of experience leading engineering teams, including people management responsibilities.
Experience designing and operating enterprise-scale data platforms or distributed data pipelines.
Experience with cloud data platforms, data lakes, lakehouse architecture, or large-scale analytics systems.
Strong understanding of data modeling, data quality, metadata, lineage, governance, and access management.
Experience delivering production systems with monitoring, alerting, incident response, and service-level expectations.
Experience leading technical roadmaps across multiple teams and organizational boundaries.
Ability to communicate complex technical concepts clearly to technical and nontechnical audiences.
Demonstrated ability to manage priorities, resolve ambiguity, and deliver measurable outcomes.
Strong written, verbal, analytical, and problem-solving skills.
Willingness to travel occasionally based on business needs.
GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future.
Must comply with the role's regular travel requirement of 25–50%.

Benefits

Comp & perks

Relocation benefits are available for candidates who qualify under company policy.
GM benefits supporting employee well-being at work and at home (specific benefits are described in Total Rewards resources).