Data Platform Engineer
Tessera Labs2 hours ago
Remote, United States or San Jose, CA, USAMid Level
Base Salary
$200k - $250k/yr
Responsibilities
- Build core data platform services and APIs for data access, query execution, ingestion, and synchronization.
- Develop reusable connector frameworks and abstractions for integrating different enterprise systems and access patterns.
- Improve query and data-movement performance through partitioning, parallelism, and efficient memory and storage management.
- Build orchestration, retries, checkpointing, and observability to support reliable workload recovery and data correctness.
- Take platform capabilities from design through production, including defining interfaces, making architectural tradeoffs, and operating deployed systems.
Requirements
- At least 2 years of experience as a Data Platform Engineer.
- Strong Python and SQL skills with experience building maintainable, tested production software.
- Experience developing backend services, data infrastructure, or data platform components beyond configuring pipelines.
- Understanding of relational databases, query optimization, data formats, and querying data in place versus materializing it elsewhere.
- Experience with concurrent or distributed workloads, failure handling, resource management, and performance debugging.
- Ability to investigate unfamiliar systems and translate complex requirements into practical designs.
- Preferred experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure.
- Preferred experience building connector libraries, developer-facing APIs, or shared platforms for engineering teams.
- Familiarity with AWS, Azure, or GCP, including networking, storage, IAM, and infrastructure as code.
Benefits
- Remote work is available, with a preference for candidates based in the Bay Area.
- Opportunity to build AI products for complex enterprise workflows and work across AI, ERP systems, and automation.
- High ownership, high impact, and direct influence on product direction.
- Collaboration with a deeply technical and customer-focused team.
About Tessera Labs
Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms such as SAP, Salesforce, Workday, Snowflake, and Databricks. It sells AI automation software and services to large organizations seeking to operationalize AI in back-office and data operations. Founded in 2022 and headquartered in London, the privately held company focuses on deploying production AI within existing enterprise stacks.