Principal Data Architect

Capgemini • Berwyn, PA

19h • Onsite

About The Position

The Enterprise Data Architect is responsible for defining and evolving a modern, Databricks‑centric data and AI architecture supporting customer, consumer, manufacturing, and supply chain domains. This role focuses on designing scalable, high‑performance data and AI platforms that enable advanced analytics, machine learning, and generative AI solutions aligned with business strategy. The architect partners closely with business, analytics, and technology leaders to drive adoption of cloud‑native data platforms, accelerate AI innovation, and enable data‑driven decision‑making across the enterprise.

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field
• 12–16+ years of experience in enterprise data architecture and large‑scale data platforms
• Deep domain experience in customer, manufacturing, or supply chain data ecosystems
• Proven ability to lead data and AI architecture initiatives and influence senior technical and business stakeholders
• Strong communication skills with the ability to articulate complex AI and data concepts to executive leadership
• Capgemini Architects certification level 3 or above, relevant data architecture certifications, IAF andoror industry certifications such as TOGAF 9 or equivalent.

Responsibilities

• Define and maintain enterprise data architecture principles, reference architectures, and future‑state roadmaps with a strong emphasis on Databricks and AI enablement
• Design end‑to‑end data and AI architectures, including data ingestion, lakehouse storage, processing, analytics, machine learning, and generative AI workflows
• Act as a strategic partner to business, analytics, and IT stakeholders to translate business objectives into scalable Databricks‑based data and AI solutions
• Lead evaluation, selection, and adoption of cloud‑based data, analytics, and AI technologies, with Databricks as the core platform
• Design architectures that support secure, resilient, and high‑performance AI and analytics workloads at enterprise scale
• Identify and implement automation opportunities across data pipelines, ML workflows, and AI production deployments
• Introduce and apply emerging technologies and innovative architecture patterns to accelerate AI‑driven business outcomes

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees