Senior Data & Platform Engineer

This position requires a current presence in New York

Location: New York City (Hybrid) or Remote (U.S.)

Our client is an innovative, venture-backed technology company developing a next‑generation AI platform that is transforming how businesses manage client relationships and operational workflows. By leveraging artificial intelligence and modern cloud technologies, the company is building a scalable platform that centralizes data, automates complex workflows, and enables intelligent decision‑making.

This is an exciting opportunity to join a fast‑growing engineering team where you'll have significant ownership in designing the infrastructure and data platform that powers cutting‑edge AI applications.

We are seeking a Senior Data & Platform Engineer to design, build, and scale the core data infrastructure that supports AI‑powered products. This role goes beyond building data pipelines—you'll create the foundational systems, tooling, and platform capabilities that enable engineering teams to develop, deploy, and operate reliable, high‑performance applications.

• Design and develop scalable backend systems and platform integrations.
• Build and maintain the company's data platform, including orchestration, pipelines, and developer tooling.
• Create reliable systems for data ingestion, transformation, storage, and access.
• Design scalable data models, APIs, and database architectures.
• Optimize schemas, indexing strategies, database migrations, and overall system performance.
• Manage infrastructure supporting data and AI workloads using cloud‑native technologies.
• Enable self‑service data workflows for engineering and product teams.
• Improve platform observability, reliability, monitoring, and performance.
• Support AI and machine learning workflows, including vector databases, embeddings, and model pipelines.
• Develop tools for document processing, metadata management, and data normalization.

• 7+ years of experience in data engineering, platform engineering, backend engineering, or infrastructure development.
• Proven experience designing, building, and owning production systems.
• Strong backend system design and API development experience.
• Deep understanding of data modeling and relational databases.
• Experience designing scalable, reliable, and high‑performance distributed systems.
• Strong proficiency with Golang, SQL, Terraform, and AWS
  .
• Ability to thrive in a fast‑paced, startup environment with a high degree of ownership.

• Experience with large language models (LLMs), Retrieval‑Augmented Generation (RAG), or vector search technologies.
• Experience supporting AI/ML infrastructure and workflows.
• Fintech or other regulated industry experience.
• Previous experience working at an early‑stage or high‑growth startup.

• Competitive compensation package.
• Equity opportunity.
• The chance to build the foundational platform behind an innovative AI product.
• A collaborative, high‑impact engineering culture focused on ownership, innovation, and technical excellence.
• The opportunity to work at the intersection of data engineering, cloud infrastructure, and artificial intelligence.