Principal Solutions Architect at Experian

Job description

At Experian, we believe great work happens when people come together. We're focused on attracting talent in and around our designated hub locations who are open to collaborating with colleagues in person. Aligning employees to these talent markets helps foster collaboration, strengthen team connections, and support long-term career growth within Experian. You will report to the Head of Technology, and reside in or near one of our 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; Seattle, WA As a Principal Solutions Architect, you'll be a senior technical leader who designs large-scale data platforms. You'll partner with engineering, product, and business teams to set technical direction for complex, high-volume data systems. You'll have opportunity to: • Define end-to-end architecture for large-scale data platforms and distributed systems • Develop automated, custom data pipelines using Apache Spark, Trino, or similar Big Data technologies • Establish architecture best practices for data ingestion, transformation, storage, and usage • Improve performance, scalability, resiliency, and cost efficiency across data platforms • Partner with Product, Engineering, Security, Cloud, and Architecture teams to modernize legacy workflows and translate our needs into technical solutions • Lead architecture reviews, resolve cross-team technical decisions, and define practices for data governance, security, and observability • Mentor architects and engineers, and communicate technical strategy and risk to senior leadership • Bachelor's in Computer Science, Data Engineering, or related field, or equivalent experience (Master's preferred) • 8+ years of experience in software engineering, data engineering, or technology architecture • 5+ years of hands-on experience with Big Data technologies and large-scale distributed data processing • Experience designing and building automated, custom data pipelines using Apache Spark, Trino, or similar frameworks • Experience architecting enterprise-scale data platforms and distributed systems • Experience designing solutions in cloud environments and with expertise in Python, Java, Scala, or SQL • Experience with data lakes, data warehouses, object storage, and distributed query engines • Reside in, or near the designated Collaboration Hub(s) for this role. Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Requirements

Must-haves

Costa Mesa, CA; San Jose, CA; Allen, TX; Austin, TX; Franklin, TN; New York, NY; Schaumberg, IL; Washington, D.C.; Atlanta, GA; Boston, MA; Seattle, WA
Define end-to-end architecture for large-scale data platforms and distributed systems
Develop automated, custom data pipelines using Apache Spark, Trino, or similar Big Data technologies
Establish architecture best practices for data ingestion, transformation, storage, and usage
Improve performance, scalability, resiliency, and cost efficiency across data platforms
Partner with Product, Engineering, Security, Cloud, and Architecture teams to modernize legacy workflows and translate our needs into technical solutions
Lead architecture reviews, resolve cross-team technical decisions, and define practices for data governance, security, and observability
Mentor architects and engineers, and communicate technical strategy and risk to senior leadership
8+ years of experience in software engineering, data engineering, or technology architecture
5+ years of hands-on experience with Big Data technologies and large-scale distributed data processing
Experience designing and building automated, custom data pipelines using Apache Spark, Trino, or similar frameworks
Experience architecting enterprise-scale data platforms and distributed systems
Experience designing solutions in cloud environments and with expertise in Python, Java, Scala, or SQL
Experience with data lakes, data warehouses, object storage, and distributed query engines
Reside in, or near the designated Collaboration Hub(s) for this role.

Nice-to-haves

Bachelor's in Computer Science, Data Engineering, or related field, or equivalent experience (Master's preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonjavasql

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