Global Databricks Solutions Architect (Remote, Contract)

Capgemini; United States; Remote; USD 96,000 - 150,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Capgemini seeks an experienced Databricks Solution Architect for migration phase work on a remote, one-year contract. You will lead BI, data warehouse, and big data initiatives across global clients, guiding executives on data architecture decisions and multi-platform data integration.

The role requires 15+ years in IT with deep experience in data warehousing, ETL tooling, and cloud platforms. Strong collaboration and stakeholder management are essential.

Qualifications

• Needs 15+ years in IT with focus on data and analytics
• Experience guiding C-level executives on data architecture decisions
• Experience mapping enterprise architecture transformations over multi-year horizons
• Strong knowledge of data warehousing, big data, and analytics platforms

Responsibilities

• Coordinate and provide experience-based solution for teams deploying BI, data platforms, and big data solutions within large enterprises
• Guide executives on data architecture decisions for major clients
• Develop and maintain data architecture best practices and standards across projects
• Lead data integration strategy and movement (ETL, SOA, bulk load) across multiple platforms

Skills

Data architecture leadership

Executive stakeholder engagement

Global deployment experience

Data integration strategy

Education

Bachelor's degree in Computer Science / Information Systems or related field

Tools

ETL tools

Reporting tools

MDM tools

Cloud platforms

Job description

Capgemini seeks an experienced Databricks Solution Architect for migration phase work on a remote, one-year contract. You will lead BI, data warehouse, and big data initiatives across global clients, guiding executives on data architecture decisions and multi-platform data integration.

The role requires 15+ years in IT with deep experience in data warehousing, ETL tooling, and cloud platforms. Strong collaboration and stakeholder management are essential.