Data Platform Engineer

Summary

Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms such as SAP, Salesforce, Workday, and Snowflake. The Data Platform Engineer will build software and reusable capabilities for connecting to, querying, moving, and processing enterprise data, while ensuring reliable, performant production operations.

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

Skills

• At least 2+ 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
• 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
• This role is open to remote candidates, with a preference for those based in the Bay Area

Qualifications

Must Haves

• At least 2+ 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

Nice to Haves

• 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
• This role is open to remote candidates, with a preference for those based in the Bay Area

Benefits

• Offers Equity
• This role is open to remote candidates
• High ownership, high impact, and direct influence on product direction