Senior Data Platform Engineer

Job not on LinkedIn

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $200k - $300k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tessera Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Tessera Labs is a vendor-agnostic, multi-agent AI systems integration platform that gives enterprises a single, unified view across their IT architecture. Pre-trained on thousands of enterprise landscapes and hundreds of years of business process expertise, Tessera adapts to each customer environment to harmonize systems and data and to enable secure, governed execution across ERP and other critical systems. The company emphasizes enterprise-grade governance and controls for regulated industries, accelerating time-to-value while evolving with new data and workflows, and is built on published AI research and patented technology.

📋 Description

• Build core data platform capabilities, including services and APIs for data access, query execution, ingestion, and synchronization • Build reusable connector frameworks and abstractions supporting different systems and access patterns • Identify bottlenecks in querying and data movement and improve performance through partitioning, parallelism, and effective memory and storage management • Build orchestration, retries, checkpointing, and observability for reliable workload recovery and data correctness • Take capabilities from design to production • Work with product and engineering teams to define interfaces and make architectural tradeoffs • Operate the systems and capabilities built

🎯 Requirements

• At least 4+ years of experience as a Data Platform Engineer • Strong Python and SQL skills • Experience building maintainable, tested production software • Experience developing backend services, data infrastructure, or data platform components beyond configuring pipelines • Solid understanding of relational databases, query optimization, data formats, and 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 • Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure is nice to have • 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 is nice to have • Authorization to work in the U.S. • Must answer whether immigration sponsorship is required now or in the future

🏖️ Benefits

• Equity • Opportunity to build AI products solving complex enterprise problems • Work at the intersection of AI, ERP systems, and automation • High ownership, high impact, and direct influence on product direction • Collaboration with a deeply technical and customer-focused team