Senior Data Platform & Integration Engineer (Remote)

Reed Smith LLP; Pittsburgh (Allegheny County); Remote; USD 152,000 - 172,000; Full time

Job summary

Reed Smith LLP in the United States is seeking a Data Integration Senior Engineer to lead data platform engineering, DataOps, and enterprise integration. You will translate governed data capabilities into secure, production-grade pipelines, APIs, event flows, and data products to support analytics, automation, AI, and agent-enabled use cases.

You will own the runtime engineering lifecycle—design, release, deployment automation, observability, incident response, and cost efficiency—while

Qualifications

• 7+ years of experience in data engineering and data integration.
• Experience building production data pipelines, APIs, and integrations on cloud data platforms.
• Experience deploying MDM, semantic-layer, and knowledge-graph services preferred.

Responsibilities

• Lead data platform engineering, DataOps, and enterprise integration.
• Develop and operate production-grade pipelines, APIs, services, and interfaces connecting internal systems and external data sources.
• Define release plans, non-functional requirements, and support models.
• Automate deployment, monitoring, observability, and runbooks for data services.
• Productionize MDM and knowledge-graph capabilities with proper data contracts and lineage.

Skills

Engineering leadership

SQL

Python

API integration

CI/CD tooling

DataOps

Data modeling

Education

Bachelor's degree in CS/Data Eng/IS

Master's degree preferred

Tools

Snowflake

Job description

Reed Smith LLP in the United States is seeking a Data Integration Senior Engineer to lead data platform engineering, DataOps, and enterprise integration. You will translate governed data capabilities into secure, production-grade pipelines, APIs, event flows, and data products to support analytics, automation, AI, and agent-enabled use cases.

You will own the runtime engineering lifecycle—design, release, deployment automation, observability, incident response, and cost efficiency—while