Principal Solutions Architect

Description

The company is a global data and technology firm working across financial services, healthcare, automotive, agribusiness, insurance and other markets. It employs about 25,200 people in 32 countries.

This role is for a senior technical leader who designs large-scale data platforms. You will report to the Head of Technology and set technical direction for complex, high-volume data systems alongside engineering, product and business teams.

The role must be based in or near one of the company's collaboration hubs: Costa Mesa, CA; San Jose, CA; Allen, TX; Austin, TX; Franklin, TN; New York, NY; Schaumberg, IL; Washington, D.C.; Atlanta, GA; Boston, MA; or Seattle, WA. The hubs are meant for in-person collaboration with colleagues.

Responsibilities

• Design the end-to-end architecture for large-scale data platforms and distributed systems.
• Build automated, custom data pipelines with Apache Spark, Trino, or similar big data tools.
• Set architecture best practices for data ingestion, transformation, storage and use.
• Raise performance, scalability, resiliency and cost efficiency across data platforms.
• Work with Product, Engineering, Security, Cloud and Architecture teams to modernise legacy workflows and turn business needs into technical solutions.
• Run architecture reviews, settle technical decisions that span teams, and define practices for data governance, security and observability.
• Mentor architects and engineers, and explain technical strategy and risk to senior leadership.

Requirements

• A bachelor's degree in computer science, data engineering or a related field, or equivalent experience. A master's degree is preferred.
• 8+ years in software engineering, data engineering or technology architecture.
• 5+ years of hands-on work with big data technologies and large-scale distributed data processing.
• Experience designing and building automated, custom data pipelines with Apache Spark, Trino or similar frameworks.
• Experience architecting enterprise-scale data platforms and distributed systems.
• Experience designing cloud solutions and strong skills in Python, Java, Scala or SQL.
• Experience with data lakes, data warehouses, object storage and distributed query engines.
• You live in or near the designated collaboration hub or hubs for this role.

Conditions

Work is in person at the designated collaboration hub for this role.

Equal opportunity and affirmative action employer. Accommodations for disabilities or special needs are available on request.

Benefits

• The company describes its culture as people-first and inclusive, and has received multiple workplace awards, including World's Best Workplaces 2025 (Fortune Global Top 25).