Staff Data Platform Engineer - Virtual

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

Our Story

At Alight, we believe a company's success starts with its people. Alight embraces values that come directly from our people - purposeful, human, united and growth-minded - reflecting our inclusive culture and promise that our clients expect. We are passionate about connecting purpose with impact. Alight empowers clients to build a healthier and more financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, navigation, and absence management.

Our Benefits

With a comprehensive total rewards package, Alight offers programs and plans that support your mind, body, wallet, and life. Benefits include health, dental and vision coverages starting Day One. Additionally, Alight colleagues enjoy wellbeing programs, retirement plans with contribution matching, generous time off, parental leave, continuing education, and career growth opportunities - all within a thriving global organization.

Flexible Working

So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and "Top 100 Company for Remote Jobs" 6 years in a row.

Great Place to Work

Thanks to the work of every colleague, Alight has received multiple awards of recognition including "Great Place to Work" for the past 7 years and Fortune's "Best Companies to Work For." To learn more about our company culture and awards Click Here.

We invite you to join our team! Learn more at careers.alight.com .

The infrastructure connecting employers, benefits administrators, insurance carriers, and service providers is extraordinarily complex and consequential to how people access and experience care, yet largely invisible to the millions who depend on it. Alight is investing in making this complexity actionable through its new Benefits Intelligence offering, powered by the Alight Data Engine. The Data Engine is a sophisticated benefits data platform that connects, standardizes, and enables the exchange of information across the fragmented benefits ecosystem.

The next challenge is scale: evolving a platform that already supports hundreds of data integrations to accommodate tens of thousands, without proportionally increasing engineering and operational effort required to support them. We're seeking a hands-on Staff Data Platform Engineer to lead this evolution, designing and building the orchestration architecture, extensible data transformation frameworks, and developer tooling that makes new integrations faster to deploy, easier to operate, and more reliable at scale.

You'll have substantial ownership over the platform's technical direction and implementation, helping establish the foundation for a new generation of data-driven products and services across Alight.

What You Will Own

• 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.

Required Execution Deliverables

• 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

What You Bring

• 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,