Data & Analytics Architect / Technical Lead
Role Overview
We are seeking an experienced Data & Analytics Architect / Technical Lead to lead the modernization of an enterprise analytics platform using the Databricks Lakehouse Platform on AWS and Tableau. This role will define the architecture roadmap, design scalable cloud-native solutions, build data pipelines, and guide adoption of modern AI-enabled data engineering practices across business-critical analytics initiatives.
Key Responsibilities
Architecture & Strategy
Define and own the enterprise Data & Analytics architecture roadmap.
Lead modernization from legacy BI and reporting platforms, including MicroStrategy, to Databricks and Tableau.
Design scalable Lakehouse architectures using Databricks, Delta Lake, Medallion Architecture, Unity Catalog, and AWS-native services.
Support future-state capabilities across data engineering, AI/ML, agentic AI, self-service analytics, governance, and data products.
Technical Leadership
Serve as technical lead across multiple workstreams.
Drive solution architecture decisions and technical governance.
Conduct architecture reviews and establish development standards.
Mentor data engineers, analytics engineers, and BI developers.
Partner closely with business stakeholders and executive sponsors.
Data Engineering & Platform Development
Design, build, and optimize scalable ingestion, transformation, semantic, streaming, and batch data workloads.
Develop Spark/PySpark, SQL, and Delta Live Tables pipelines.
Build reusable frameworks and drive performance, reliability, observability, and cost optimization.
Data Integration
Lead ingestion and integration across multiple enterprise source systems:
Integrate enterprise source systems including Oracle ERP/JDE, SQL Server, Salesforce/CRM, manufacturing, supply chain, flat files, external feeds, and legacy data platforms.
Analytics & BI Modernization
Architect governed semantic models for Tableau.
Lead migration of reports and datasets from MicroStrategy.
Design executive, operational, and self-service reporting solutions.
Enable business-friendly data products and enterprise self-service analytics.
AI & Agentic Data Engineering
Drive adoption of AI-enabled engineering capabilities including:
Apply practical AI-enabled engineering capabilities such as agentic AI, AI-assisted code generation, metadata discovery, lineage automation, data quality automation, observability, intelligent testing, CI/CD automation, and GenAI-powered data access patterns.
Candidates should demonstrate practical implementation experience rather than conceptual familiarity.
DevOps / DataOps / CI-CD
Establish modern DataOps practices.
Build and maintain CI/CD pipelines for data platform deployments.
Implement Infrastructure-as-Code and environment promotion strategies.
Leverage Git-based development workflows.
Automate testing, deployment, code quality, and release processes.
Required Qualifications
Experience
10+ years in Data & Analytics architecture and engineering, including 5+ years leading enterprise-scale cloud data platforms.
Proven experience as a Data Architect, Lead Architect, Principal Engineer, or Technical Lead.
Demonstrated success leading modernization programs and translating business goals into technical roadmaps.
Cloud & Data Platforms
Strong hands-on expertise in:
Hands-on expertise with Databricks Lakehouse, AWS, Delta Lake, Unity Catalog, Spark/PySpark, SQL, data modeling, data warehousing, and Lakehouse architecture.
Reporting & Visualization
Experience with Tableau Desktop, Tableau Server/Cloud, enterprise dashboard design, and self-service analytics enablement.
Database & Source Systems
Experience with:
Experience with Oracle, SQL Server, Salesforce/CRM, JDE/ERP, and legacy BI ecosystems including MicroStrategy.
DevOps & Automation
Experience with:
Experience with Git, CI/CD pipelines, Azure DevOps, GitHub Actions, Jenkins or equivalent tools, Terraform/IaC, monitoring, and operationalization frameworks.
Programming
Strong proficiency in:
Strong proficiency in SQL, PySpark, Python, and Spark SQL.
Understanding of KPIs and analytics related to:
Understanding of analytics and KPIs across procurement, supplier performance, inventory, demand planning, manufacturing, margin/cost analysis, and operational efficiency.
Executive & Communication Skills
Executive-level communication, stakeholder management, consulting, workshop facilitation, requirements discovery, and architecture documentation skills.
The Ideal Candidate
Strategic, hands-on Databricks leader who can architect, build, troubleshoot, modernize BI platforms, influence executives, and guide onshore/offshore teams from strategy through implementation.
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field.
Life at Sogeti - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work options
401(k) with 150% match up to 6%
Employee Share Ownership Plan
Medical, Prescription, Dental & Vision Insurance
Life Insurance
100% Company-Paid Mobile Phone Plan
3 Weeks PTO + 7 Paid Holidays
Career Planning & Coaching
$5,250 Tuition Reimbursement & 20,000+ Online Courses
About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best | www.sogeti.us
Disclaimer
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.
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 accommodations do 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 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-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.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $140,000 - $180,000.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Data & Analytics Architect / Lead

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