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Data Engineering Manager

  • 위치
    • Austin, Texas
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202620683

설명

The Role 

General Motors is seeking a data engineering manager to lead a team responsible for building and operating scalable data products that support engineering vehicle analysis, testing, diagnostics, machine learning, and downstream applications. 

This role owns the technical direction, delivery, reliability, and continuous improvement of a cloud-based engineering data platform. The platform brings together large volumes of vehicle test and engineering data from multiple sources and makes it governed, discoverable, and ready for analytics. 

The successful candidate will combine people leadership, technical judgment, product-minded execution, stakeholder management, and operational accountability. This leader will build a high-performing team and establish scalable data engineering practices across vehicle engineering and related organizations. 


What You’ll Do 

  • 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 strong 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. 

Your Skills & Abilities (Required Qualifications)

  • Bachelors 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.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Masters degree in Computer Science, Engineering, Data Science, or a related field.
  • Experience supporting automotive, mobility, manufacturing, embedded systems, vehicle testing, or engineering analytics.
  • Experience building data products used by engineering, calibration, diagnostics, simulation, or machine learning teams.
  • Experience scaling ingestion and processing for large files, high-volume telemetry, or time-series data.
  • Experience with data cataloging, business metadata, data contracts, data mesh, or domain-oriented data products.
  • Experience managing vendor, supplier, or cross-functional delivery relationships.
  • Experience establishing platform cost-management and capacity-planning practices.
  • Experience with data observability and quality tools.
  • Experience leading cloud modernization or migration from legacy data platforms.
  • Experience working in an Agile or product-oriented engineering environment.
  • Experience with Six Sigma, Lean, DevOps, or similar continuous-improvement methods.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.

선발된 지원자는 이 직무를 위해 정기적으로 출장(25~50%) 을 다녀야 합니다.

Relocation 지원 혜택은 회사 정책에 따라 자격이 되는 지원자에게 제공됩니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.