Principal Solutions Architect

Posted 2 Hours Ago
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Hiring Remotely in United States
Remote or Hybrid
Senior level
Big Data • Marketing Tech • Analytics
The Role
Designs enterprise-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, security, governance, observability, and cost efficiency. Partners with engineering, product, cloud, security, and architecture teams, leads technical reviews and decisions, mentors technical staff, and communicates strategy and risks to senior leadership.
Summary Generated by Built In
Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. 

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:

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.

  • California: Costa Mesa & San Jose

  • Texas: Allen & Austin

  • Tennessee: Franklin

  • New York: New York

  • Illinois: Schaumburg

  • District of Columbia: Washington

  • Georgia: Atlanta

  • Massachusetts: Boston

  • Washington: Seattle

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

Qualifications

  • 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.

Additional Information

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.

Skills Required

  • Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent experience
  • Master's degree
  • 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
  • Expertise in Python, Java, Scala, or SQL
  • Experience with data lakes, data warehouses, object storage, and distributed query engines
  • Residence in or near a designated collaboration hub

Experian Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.

  • Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
  • Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
  • Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.

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The Company
HQ: Dublin
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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