Senior Data Platform Engineer

Tessera Labs is hiring a Data Platform Engineer to build software that connects enterprise systems and makes their data usable across applications, analytics, and AI. The role focuses on reusable data access and integration capabilities, performance, reliability, and taking platform features from design through production.

Responsibilities:

• Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization
• Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations
• Improve performance and resource efficiency. Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management
• Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness
• Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build

Requirements:

• At least 4+ years of experience as a Data Platform Engineer
• Strong Python and SQL, with experience building maintainable, tested production software
• Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines
• A solid understanding of relational databases, query optimization, data formats, and the tradeoffs between querying data in place and materializing it elsewhere
• Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging
• The ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs
• This role is open to remote candidates, with a preference for those based in the Bay Area
• Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure
• Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams is especially relevant
• Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code