Manager - Data Engineering

Manager of Data Engineering

Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

About this role :

We are unable to provide any type of visa sponsorship either now or in the future for this position.

As the Manager of Data Engineering, you'll lead our expansion into modern data technologies that power advanced analytics, machine learning, and real time decision support. You'll guide the design and delivery of scalable batch and streaming data pipelines that create high quality datasets for search, analytics, and ML workloads. Working closely with a collaborative engineering team, you'll explore new tools, shape data architecture, and drive the adoption of automated, reliable data solutions. You'll oversee coding, testing, documentation, and operational excellence while establishing standards and processes that strengthen our end to end data engineering framework.

Responsibilities

What makes you an ideal candidate :

• Lead the design of governed, finance critical data products and develop scalable batch / streaming pipelines using Azure Databricks, Delta Lake, Spark, and Python / Scala.
• Engineer high quality datasets to support FP&A, Oracle Fusion workflows, GenAI Finance Assistant use cases, and advanced analyticsleveraging strong SQL and data modeling skills.
• Apply deep expertise in distributed systems (Hadoop, Spark), NoSQL stores (Cassandra, HBase, MongoDB), and messaging / streaming platforms like Kafka.
• Utilize cloud and DevOps technologies including Azure, Docker / Kubernetes, and automation tools such as Ansible, Chef, or Puppet to modernize and optimize data engineering workflows.
• Oversee coding, testing, deployment, monitoring, and troubleshooting across pipelines while defining engineering standards and ensuring operational reliability.
• Provide strong technical leadershipmentoring engineers, conducting code reviews, driving solutions, and collaborating effectively across engineering and Finance teams.

Qualifications

Experience :

What We Offer :

Generous benefits package available on day one to include : 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture :

Our team members define and shape our culture an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work we thrive.

Compensation :

Competitive pay and bonus eligibility

Work Life Balance :

Flexible hybrid work environment, minimum of 2-days a week in Ft. Worth, TX office

We are unable to provide any type of visa sponsorship either now or in the future for this position.