Data Architect (contract)

Capgemini; Indianapolis (IN); On-site; USD 85,810 - 134,068; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

A leading consulting firm is seeking an experienced professional for a role focused on Data & AI-driven projects. The ideal candidate will have extensive experience in cloud architecture, particularly on Azure, and hands-on expertise in Databricks. Knowledge in AI coding tools and solid communication skills are highly valued. The position offers a competitive pay range from $62.29 to $97.32 per hour along with comprehensive benefits.

Qualifications

• 20+ years of experience delivering Data & AI–driven projects.
• 10+ Years of experience in Architecture, Providing Solutions especially in Cloud Platforms.
• 7+ Years of hands-on Knowledge and experience in Azure Cloud Platform.
• 7+ Years of hands-on expertise in Databricks, well understanding of Unity Catalog.
• 2+ years of experience using AI-based code assistance tools to support development.

Skills

Data & AI project delivery

Cloud architecture solutions

Azure Cloud Platform

Databricks expertise

AI coding tools usage

Data Layer construction

Data modeling in Columnar DBs

Data Engineering in Python

GitHub and CI/CD experience

Data governance design

Onshore/Offshore coordination

Communication skills

Job description

The pay range that the employer in good faith reasonably expects to pay for this position is $62.29/hour - $97.32/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Qualifications

• 20+ years of experience delivering Data & AI–driven projects.
• 10+ Years of experience in Architecture, Providing Solutions especially in Cloud Platforms
• 7+ Years of hands-on Knowledge and experience in Azure Cloud Platform
• 7+ Years of hands-on expertise in Databricks, well understanding on Unity Catalog
• 2+ years of experience leveraging AI based code assistance tools (e.g., GitHub Copilot, Databricks Genie) to support code development, refactoring, and productivity.
• 7+ Years Experience in Building Data Layers w.r.t Medallion (Bronze/Silver/Gold) Architecture
• 10+ Years of Experience building Data Models in Columnar DBs, 3NF, Logical Data Models, Physical Data Models, Logical Layers like Domains/Sub-Domain/Data Product strategies
• 5+ Years of Hands-on Experience in Data Engineering solutions in Python, PySpark, Databricks Notebooks.
• 5+ Years of Hands-on Experience in GitHub, Data Pipelines and CI/CD
• Experience defining data architecture standards, reference architectures, and design patterns across enterprise data platforms
• Experience designing data governance, security, and access control models
• Experience in Onshore/Offshore coordination and collaboration
• Excellent in communication skills

Equal Opportunity Statement

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.