Data Platform Engineer

The role

You will build software that connects enterprise systems and makes data usable across applications, analytics, and AI. You will work at the intersection of backend engineering and data systems to build reusable capabilities for data access, querying, and processing.

What you will do

• Build core data platform capabilities.
• Develop services and APIs for data access, query execution, ingestion, and synchronization.
• Build connector frameworks and abstractions to make integrations reusable.
• Identify bottlenecks in querying and data movement.
• Apply partitioning, parallelism, and effective memory and storage management.
• Build orchestration, retries, checkpointing, and observability.
• Work with product and engineering teams to define interfaces and make architectural tradeoffs.
• Operate what you build.

Required qualifications

• At least 2+ years of experience as a Data Platform Engineer
• Strong Python and SQL
• Experience building maintainable, tested production software
• Experience developing backend services, data infrastructure, or data platform components
• 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
• Ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs

Nice to have

• 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
• Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code

About the company

Tessera Labs builds multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. The company is backed by Andreessen Horowitz and Foundation Capital.