Staff Data Platform Engineer — Scale Data Pipelines

Alight; Illinois; Hybride; USD 185 000 - 235 000; Plein temps

Résumé du poste

Alight is seeking a hands-on Staff Data Platform Engineer to lead the Data Engine ingestion, transformation, and orchestration at scale. You will own architecture, design patterns, and developer tooling to accelerate thousands of data pipelines across our platform.

With 8+ years in data systems, you will shape data models, frameworks, and reliability while partnering with Product and Operations to deliver scalable solutions for clients and internal stakeholders.

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.
• Demonstrated experience designing and scaling data platforms, including orchestration, pipeline execution, and infrastructure supporting large numbers of independently managed workloads
• Demonstrated experience designing configuration-driven systems that generalize complex processing requirements.
• Experience supporting production applications and operational workflows, beyond purely analytics or reporting workloads, with strong requirements for reliability, availability, and observability
• Demonstrated ability to independently establish technical direction and drive platform architecture and integrated delivery across Product and Engineering teams.
• Demonstrated fluency with approved agentic coding practices.

Responsabilités

• Own the technical design, architecture, and implementation of the Data Engine’s ingestion, transformation, and orchestration infrastructure to materially increase Data Engine integration capacity and reduce manual engineering and operational effort.
• Design extensible data models, transformation frameworks and configuration‑driven abstractions for standardizing heterogeneous client and source data.
• Build developer tooling and reusable platform capabilities that enable engineering and operational teams to independently develop, deploy, monitor and maintain data integrations.
• Design scalable orchestration and execution patterns that efficiently support thousands of independently managed data pipelines and workloads
• Improve platform reliability, observability and operational efficiency through automated validation, recovery, monitoring and infrastructure optimization.
• Partner with Product, Architecture, Software Engineering and Operations to align platform capabilities to product delivery and client rollout needs.
• Scalable configuration-driven integration framework
• Reusable data models, transformation libraries and orchestration patterns
• Developer and operations tooling for independent integration delivery
• Reliability, observability and automated‑recovery capabilities
• Platform standards, documentation, reference implementations and adoption guidance

Connaissances

Data modeling

SQL

Transformation frameworks

Orchestration

Data quality

Python

Dev tooling

Platform architecture

Outils

Dagster

AWS

Description du poste

Alight is seeking a hands-on Staff Data Platform Engineer to lead the Data Engine ingestion, transformation, and orchestration at scale. You will own architecture, design patterns, and developer tooling to accelerate thousands of data pipelines across our platform.

With 8+ years in data systems, you will shape data models, frameworks, and reliability while partnering with Product and Operations to deliver scalable solutions for clients and internal stakeholders.