Data Architect - Databricks Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. \\\\Job Location:\\\\ This is a hybrid role based in Indianapolis, IN. \\\\About the job you're considering\\\\ We are seeking an accomplished \\\\Senior Data & AI Architect\\\\ to lead the design and delivery of enterprise-scale data engineering and AI-driven solutions. This role requires deep expertise in \\\\Azure cloud architecture, Databricks, modern data ingestion frameworks, Building Canonical Data Models, and Medallion architecture\\\\ , along with strong leadership and communication skills. The ideal candidate will define enterprise data standards, architect scalable platforms, and collaborate across global teams to deliver high-quality data products. \\\\Your role:\\\\ \\+ Lead architecture and solution design for large-scale \\\\Data & AI platforms\\\\ on Azure. \\+ Design and implement \\\\data acquisition frameworks\\\\ using CDC, batch, micro-batch, and real-time streaming patterns with Spark. \\+ Architect and manage data storage solutions using \\\\ADLS Gen2\\\\ , domain/sub-domainbased storage, and data product containers. \\+ Build and govern \\\\Medallion (Bronze/Silver/Gold) data layers\\\\ for enterprise analytics and AI use cases. \\+ Provide hands-on technical leadership using \\\\Python, PySpark, and Databricks Notebooks\\\\ . \\+ Define and enforce \\\\data architecture standards, reference architectures, and design patterns\\\\ . \\+ Design and oversee \\\\data governance, security, and access control models\\\\ , including Unity Catalog. \\+ Integrate \\\\CI/CD pipelines\\\\ , GitHub workflows, and automated deployment practices. \\+ Leverage \\\\AI-based code assistance tools\\\\ (e.g., GitHub Copilot, Databricks Genie) to improve developer productivity and code quality. \\+ Collaborate effectively with \\\\onshore and offshore teams\\\\ , mentoring engineers and architects. \\+ Communicate technical solutions clearly to business stakeholders, architects, and leadership. \\\\Skills and experience\\\\ \\+ \\\\20+ years\\\\ of experience delivering Data & AIdriven projects. \\+ \\\\10+ years\\\\ of experience in solution architecture, primarily on \\\\cloud platforms\\\\ . \\+ \\\\7+ years\\\\ of hands-on experience in: \\+ Data acquisition framework design \\+ Spark-based ingestion (CDC, batch, streaming, micro-batch) \\+ Handling structured and unstructured data \\+ Azure Data Lake Storage (ADLS Gen2) and cloud storage architectures \\+ Azure cloud platform and Databricks (including Unity Catalog) \\+ \\\\5+ years\\\\ of hands-on experience with \\\\Python, PySpark, Databricks Notebooks, GitHub, and CI/CD pipelines\\\\ . \\+ \\\\2+ years\\\\ of experience leveraging AI-powered development tools. \\+ Strong understanding of enterprise data governance, security, and access management. \\+ Experience leading enterprise data modernization initiatives. \\+ Exposure to AI/ML enablement through data platforms. \\+ Prior experience in highly regulated or large-scale enterprise environments. The base compensation range for this role in the posted location is:$161,177 - $213,811. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. \\\\Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.\\\\ In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: \\+ 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 \\\\Important Notice:\\\\ Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgeminis discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. \\\\Disclaimers\\\\ Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Ref. code: 449096 Posted on: Apr 1, 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: Chicago, IL, US Brand: Capgemini Professional Community: Data & AI 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.

The role requires over 20 years of experience in delivering Data & AI-driven projects and over 10 years in solution architecture, primarily on cloud platforms. Seven years of hands-on experience is needed in data acquisition framework design, Spark-based ingestion, handling structured and unstructured data, Azure Data Lake Storage (ADLS Gen2) and cloud storage architectures, Azure cloud platform and Databricks including Unity Catalog. Five years of hands-on experience with Python, PySpark, Databricks Notebooks, GitHub, and CI/CD pipelines is also required. Additionally, two years of experience leveraging AI-powered development tools is necessary, along with a strong understanding of enterprise data governance, security, and access management. Experience leading enterprise data modernization initiatives and exposure to AI/ML enablement through data platforms are also mentioned.