Staff Data Platform Engineer — Remote, Scalable Pipelines

Alight Solutions LLC; United States; Remote; USD 170,000 - 230,000; Full time

Job summary

Alight Solutions LLC is seeking a hands-on Staff Data Platform Engineer to lead the evolution of the Data Engine infrastructure, designing and building the orchestration architecture, extensible data transformation frameworks, and developer tooling that speeds integration deployment and improves reliability.

You will own the platform's technical direction and work with Product, Architecture, Software Engineering and Operations to align capabilities with client rollout needs.

Qualifications

• 8+ years of data platform, data engineering or software engineering experience with production-grade data systems.
• Deep knowledge of data modeling, SQL, transformation frameworks, orchestration and data quality.
• Extensive Python engineering skills and experience creating extensible frameworks, reusable abstractions and developer tooling.
• Experience designing and scaling data platforms, including orchestration, pipeline execution, and infrastructure supporting large numbers of independently managed workloads.

Responsibilities

• Own the technical design, architecture, and implementation of the Data Engine's ingestion, transformation, and orchestration infrastructure to materially increase integration capacity.
• Design extensible data models, transformation frameworks and configuration-driven abstractions for standardizing heterogeneous client and source data.
• Build developer tooling and reusable platform capabilities to enable teams to independently develop, deploy, monitor and maintain data integrations.
• Design scalable orchestration and execution patterns that support thousands of pipelines and workloads.
• Improve platform reliability, observability and automated-recovery capabilities.

Skills

Data engineering

SQL

Python

Data modeling

ETL

Cloud

Job description

Alight Solutions LLC is seeking a hands-on Staff Data Platform Engineer to lead the evolution of the Data Engine infrastructure, designing and building the orchestration architecture, extensible data transformation frameworks, and developer tooling that speeds integration deployment and improves reliability.

You will own the platform's technical direction and work with Product, Architecture, Software Engineering and Operations to align capabilities with client rollout needs.