Data Architect Unity Catalog - Databrick -Privacera at Capgemini
Washington, District of Columbia, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

55000.0

Posted On

09 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Regulatory Requirements, Data Security, Availability, It, Commission, Disabilities, Data Models

Industry

Information Technology/IT

Description

ABOUT THE JOB YOU’RE CONSIDERING

We are seeking a skilled and motivated Data Architect to join our team in Bellevue, WA. In this role, you will design and implement scalable data architectures and governance frameworks using modern data platforms and tools. You will work closely with cross-functional teams to ensure data quality, security, and compliance while enabling advanced analytics and machine learning capabilities

YOUR SKILLS AND EXPERIENCE

  • Proven experience with Databricks, Unity Catalog, and Privacera in enterprise data environments.
  • Strong understanding of data governance frameworks and tools such as Collibra.
  • Hands-on experience designing and managing scalable ETL pipelines and data models.
  • Familiarity with data security, compliance, and regulatory requirements.
  • Experience working in cross-functional teams and translating business needs into technical solutions.

ENGINEERING, ALL FUELED BY ITS MARKET LEADING CAPABILITIES IN AI, GENERATIVE AI, CLOUD AND DATA, COMBINED WITH ITS DEEP INDUSTRY EXPERTISE AND PARTNER ECOSYSTEM. THE GROUP REPORTED 2024 GLOBAL REVENUES OF €22.1 BILLION.

Get the future you want | www.capgemini.com

Responsibilities

YOUR ROLE

  • Design and implement data architecture leveraging Databricks, Unity Catalog, Privacera, and Collibra.
  • Develop, optimize, and manage ETL pipelines using Databricks, ensuring data integrity and quality.
  • Define and maintain data models and schemas, incorporating governance practices with Unity Catalog and Collibra.
  • Implement data security and compliance strategies using Privacera and Databricks features.
  • Establish and enforce data governance standards, including metadata management, lineage tracking, and data quality metrics.
  • Operationalize machine learning models in both batch and real-time data pipelines.
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable data solutions.
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