# Senior Data Platform Engineer

**Company:** [Tessera Labs](https://hotfix.jobs/companies/tessera-labs)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $200k – $300k/yr
**Experience:** 4+ years
**Skills:** Python, SQL, Backend Services, Data Infrastructure, Relational Databases, Query Optimization, Data Formats, Distributed Systems, Workflow Orchestration, Connector Frameworks, Analytical Query Engines, Lakehouse Technologies, Containerized Infrastructure, Cloud Infrastructure, Infrastructure As Code
**Posted:** 2026-09-11

> Build and operate reusable data platform services, connectors, and reliable distributed workloads that make enterprise data usable for applications, analytics, and AI. Requires 4+ years of data platform experience plus strong Python, SQL, backend, and data infrastructure skills.

## Job Description

## Responsibilities
- Build core data platform capabilities, including services and APIs for data access, query execution, ingestion, and synchronization.
- Develop reusable connector frameworks and abstractions for integrating enterprise systems and supporting varied access patterns.
- Improve query and data-movement performance through partitioning, parallelism, and efficient memory and storage management.
- Build orchestration, retries, checkpointing, and observability to ensure reliable workload recovery and data correctness.
- Take platform capabilities from design through production in collaboration with product and engineering teams.

## Requirements
- 4+ 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 the tradeoffs between querying data in place and 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.

## 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 engineering teams.
- Familiarity with cloud infrastructure, including networking, storage, identity and access management, and infrastructure as code.

## Compensation and Benefits
- Annual salary range: $200,000–$300,000.
- Build AI products addressing complex enterprise problems at the intersection of AI, ERP systems, and automation.
- High ownership, impact, and influence on product direction.
- Collaboration with a technical and customer-focused team.

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