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Senior/Staff Data Platform Engineer

at Primis Talent

New York, hybrid, senior, full time, 7+ years

posted 26 Oct 2026

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  • Java
  • C++
  • Azure
  • Rust
  • Infrastructure as Code
  • Hadoop
  • Go
  • Kafka
  • Flink
  • SQL
  • NoSQL
  • GCP
  • Snowflake
  • Spark
  • AWS
  • Python

About the role

Data Platform Engineer (Senior / Staff)

The company An AI-native legal tech company that turns complex corporate transaction data into structured, searchable market intelligence. Legal and finance professionals use the platform to analyze deal terms, spot market trends and assess risk faster.

The company was recently acquired by a global information and technology leader. It keeps a startup team and pace, with the data, distribution and resources of a large enterprise behind it.

The role We’re hiring Data Platform Engineers at Senior and Staff level to build the infrastructure that ingests, processes, stores and serves large volumes of legal and financial document data. The platform has to scale with rapid AI development while meeting strict reliability, security and compliance standards.

Both levels are hands-on and write production Python. Level depends on scope:

* Senior builds and owns core systems across pipelines, backend services, databases and cloud infrastructure.

* Staff also sets the platform’s technical direction, leads architecture decisions and helps build out the platform team.

Location: NYC preferred but flexible

What you would do

At both levels:

* Design, build and optimize pipelines that ingest, transform and distribute high-volume document data

* Build reliable, high-performance backend services and APIs for document storage, retrieval and processing

* Implement data governance, privacy controls, audit trails and regulatory compliance (including GDPR)

* Lead database migrations and improve schema design, query performance and scalability

* Partner with ML and AI teams to support model training, evaluation and inference at scale

* Mentor engineers on architecture, system design and engineering practice

At Staff level, you’ll also:

* Own the data platform’s technical roadmap, balancing scale, reliability, security, compliance and business priorities

* Architect next-generation pipelines and storage systems, and lead technology selection and infrastructure strategy

Read from primis-talent.com, last seen 3d ago.

* Set technical standards and help build a high-performing platform team

* Represent the platform in company-wide architecture and engineering decisions

What they are looking for

* Senior: 7+ years in software engineering, with 4+ years focused on data platforms, backend infrastructure or related systems, and experience mentoring engineers

* Staff: 10+ years in software engineering, with 6+ years focused on data platforms or infrastructure, including architecting high-throughput systems at petabyte scale or similar complexity, and a track record of building and mentoring teams and driving complex technical initiatives to completion

At both levels:

* Strong production experience in Python (Java, Go, C++ or Rust also valued)

* Distributed systems and large-scale data technologies such as Spark, Hadoop, Snowflake or modern data platforms

* Strong SQL and NoSQL skills, including data modeling and query optimization

* Scalable API design and backend service development

* AWS, GCP or Azure, with infrastructure-as-code

* Data compliance, privacy engineering and secure data handling in regulated environments

* Sound judgment on trade-offs between quality, speed, cost and risk

* Experience in legal tech, financial services or another highly regulated industry

* ML infrastructure experience: ML pipelines, feature stores, or platforms supporting AI workloads

* Real-time and streaming data (Kafka, Flink)

* Leading major architectural transitions or platform migrations

* Experience in a high-growth environment where the platform was critical to the business

* Technical writing or speaking on data systems or architecture

Why this role

* Real ownership: shape the core data platform behind an AI product used by legal and finance professionals

* Hard, interesting data: complex, high-value legal and financial documents, with compliance built in from the ground up

* Close to AI: work directly with ML teams on training, evaluation and inference infrastructure

* Startup pace, enterprise backing: a small, fast team with the stability and reach of a global parent company

* Strong benefits: flexible work (including up to 8 weeks a year working from anywhere), flexible vacation, retirement savings, tuition reimbursement and wellbeing support

* ##### Taylor Janvrin

* Taylor

* +1 929 865 0147

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Ready to work with us?

* I am looking to: Hire talent Find my role Join the team Get in touch

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