Director of Engineering
Teradata · Posted Nov 2
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata’s Autonomous Knowledge Platform unifies data, knowledge, and business context, and its Active Compute cloud platform provides an enterprise-grade data warehouse and analytics foundation across AWS, Azure, and GCP. The platform supports mission-critical SQL analytics, business intelligence, AI/ML, and mixed workloads with governance, security, and workload management. This Director of Engineering will own the technical strategy and roadmap and lead multiple engineering teams across compute orchestration, provisioning, scaling, reliability, observability, and cloud economics.
What you will do
- Own the technical strategy and roadmap for Teradata Cloud Platform.
- Lead multiple engineering teams responsible for compute orchestration, provisioning, scaling, workload management, reliability, and observability.
- Deliver a seamless experience across always-on production workloads and elastic, on-demand workloads.
- Drive cloud-native architecture across AWS, Azure, and GCP.
- Partner closely with Product, AI/ML, Data, SRE, and Customer teams to translate business and customer needs into platform capabilities.
- Establish strong standards for performance, availability, security, and cloud economics/FinOps.
- Build and develop a high-performing engineering organization and leadership team.
- Define and track platform SLOs, operational metrics, customer adoption, and unit economics.
- Leverage AI, including agentic development approaches, to accelerate engineering velocity, improve developer productivity, and drive rapid innovation across the platform.
- Maintain a strong execution focus, drive accountability and timely delivery of results, and think outside the box to solve complex technical and business challenges.
Skills used in this role
What the employer is looking for
- 10+ years of experience in software, cloud infrastructure, distributed systems, or data platforms, including 5+ years leading engineering organizations.
- Proven experience building and operating large-scale, multi-tenant cloud platforms.
- Strong understanding of distributed databases, compute/storage separation, Kubernetes, orchestration, autoscaling, and workload management.
- Experience with both always-on production systems and elastic/serverless compute architectures.
- Strong understanding of enterprise data, analytics, AI/ML, and cloud platforms.
- Demonstrated ability to connect deep technical strategy with product direction, customer value, and business outcomes.
- Experience across AWS, Azure, and/or GCP preferred.
- Experience leveraging AI-powered development tools, agentic AI, or AI-driven engineering workflows to accelerate software development, increase engineering productivity, and enable rapid innovation.
- A strong track record of execution, with the ability to turn strategy into measurable outcomes, challenge conventional thinking, and develop creative solutions to complex problems.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
Recent coverage
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