Job Title : Data / Information Architect
Location : Seattle, WA
Job Description :
As an Information Architect, you will play a crucial role in designing and implementing our enterprise metadata model and distributed workspace architecture. You will lead efforts to integrate metadata management systems, champion best practices, and drive cross-functional alignment to support our data infrastructure. This position requires a strategic mindset, hands-on technical expertise, and the ability to collaborate effectively across diverse teams.
Key Responsibilities :
- Lead the design and implementation of an enterprise metadata model in Collibra, aligned with business objectives.
- Develop and execute workflows to integrate metadata management with Unity Catalog and Synaptica, ensuring discoverability and usability.
- Champion best practices for metadata collection, governance, and utilization across teams.
- Establish an implementation and optimization plan for distributed workspaces in Databricks, leveraging Unity Catalog for secure, scalable data access and management.
- Define standards and practices for efficient use of Databricks distributed environments.
- Drive cross-functional alignment to support Databricks implementations within a unified architecture.
- Unify stakeholders from technical and non-technical teams around a shared vision for metadata and data discovery.
- Develop a clear roadmap outlining transition architecture states, milestones, deliverables, and success metrics.
- Serve as a strategic leader and a delivery-oriented contributor, ensuring plans lead to results.
- Foster collaboration in complex environments, addressing ambiguity with clarity and direction.
- Provide thought leadership and encourage adoption of innovative solutions in ontology, taxonomy, and data discovery.
Required Skills :
Extensive hands-on experience with Databricks, Collibra, Unity Catalog, and Semantic Modeling, including integration and implementation in enterprise environments.Proven track record of implementing and managing distributed workspaces in Databricks.Expertise in metadata modeling, data architecture, and enterprise-scale data discovery solutions.Familiarity with data governance frameworks and compliance requirements.Life at Capgemini :
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer :
Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child / elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout Capgemini Engineering :
World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry.
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity / expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Applicants for employment in the US must have valid work authorization that does not now and / or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
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