Data Engineering Manager

Descripción

About the Role

The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing, Personalization, AI, and Advanced Analytics.

This is a highly technical leadership role responsible for building scalable, cloud-native data products across a multi-cloud Lakehouse architecture with a strong focus on Databricks, Distributed Data Processing, near Real-Time Streaming, AI/ML, and Generative AI. If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you.

You are a technology leader who combines deep technical expertise with strong people leadership. You thrive in solving complex engineering challenges, embrace innovation, and are passionate about building scalable, AI-ready data platforms that power millions of connected customer experiences. Your ability to influence strategy, mentor engineers, and deliver modern data solutions will shape the future of GM's customer data ecosystem.

What You'll Do

• Lead, mentor, and grow a high-performing team of Data Engineers, including performance management, career development, hiring and onboarding.
• Define and execute the technical roadmap for Customer, Marketing, and OnStar\Digital data products, using cloud-agnostic, portable architecture that enable interoperability across Azure, GCP, AWS, and other platforms while supporting GM’s long-term multi-cloud strategy.
• Architect, Design and build scalable batch, streaming, API, and event-driven data pipelines using Databricks, Apache Spark, Delta Lake, and Unity Catalog.
• Own end-to-end delivery of data engineering initiatives from product requirements to operational support post deploy.
• Drive modernization from legacy platforms to cloud-native, multi-cloud Lakehouse architectures.
• Enable AI and Machine Learning by building trusted, reusable, and governed data products supporting predictive analytics, GenAI, and LLM applications.
• Collaborate with architecture and platform teams to align reference architectures, standards, and reusable components.
• Champion engineering excellence through CI/CD, Infrastructure as Code, Data Observability, automated testing, metadata management, and data quality.
• Optimize platform performance, scalability, reliability, and cloud cost efficiency.
• Collaborate with Business, Product, Marketing, Analytics, Security, and Architecture teams to deliver business outcomes and technical innovation.
• Foster a culture of innovation, continuous learning, experimentation, and engineering excellence.

Your Skills & Abilities ( Required Qualifications)

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
• 7+ years of experience in Data Engineering, Software Engineering, or production grade Distributed Data Platforms.
• 3+ years of proven experience leading and managing data engineering or software engineering teams.
• Deep expertise with Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, and modern Lakehouse architectures.
• Experience designing cloud-native solutions across Azure, AWS, or GCP.
• Strong understanding of data modeling, data governance, observability, security, and engineering best practices.
• Experience with or exposure to AI-first engineering concepts, including Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), vector search, and LLM-powered applications.
• Strong experience building large-scale distributed batch and streaming data pipelines.
• Excellent leadership, communication, and stakeholder management skills, with the ability to translate business needs into technical solutions.

What Will Give You A Competitive Edge ( Preferred Qualifications)

• Experience with Databricks AI capabilities (MLflow, Mosaic AI, Delta Live Tables, Feature Store, Vector Search, Genie Spaces).
• Experience building Customer 360, Marketing, Personalization, CDP, or Connected Services platforms.
• Experience implementing DataOps/MLOps practices, including CI/CD pipelines and automated testing for data pipelines
• Experience with streaming technologies such as Kafka or Azure Event Hubs.
• Experience integrating with and working with data from Shopify, Heap, Adobe SDK and AppsFlyer
• Knowledge of Data Mesh, Data Products, and modern cloud-native architecture patterns.
• Knowledge of data privacy, security, and regulatory considerations for enterprise data
• Experience operating critical data platforms with strong SLA’s and support processes.

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.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto podría ser elegible para beneficios de relocalización.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar.  Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.