Note: The job is a remote job and is open to candidates in USA. Sogeti, part of the Capgemini Group, delivers technology solutions across cloud, application development, quality engineering, AI, data, and automation. The Data & Analytics Architect / Technical Lead will lead the modernization of an enterprise analytics platform using Databricks on AWS and Tableau, defining architecture roadmaps, building scalable data solutions, and guiding technical teams and stakeholders. The role also drives data engineering, BI modernization, AI-enabled engineering, governance, and DevOps/DataOps adoption.
Responsibilities
- 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
- 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
- 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
- Integrate enterprise source systems including Oracle ERP/JDE, SQL Server, Salesforce/CRM, manufacturing, supply chain, flat files, external feeds, and legacy data platforms
- 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
- 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
- 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
Skills
- • 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
- • Hands-on expertise with Databricks Lakehouse, AWS, Delta Lake, Unity Catalog, Spark/PySpark, SQL, data modeling, data warehousing, and Lakehouse architecture
- • Experience with Tableau Desktop, Tableau Server/Cloud, enterprise dashboard design, and self-service analytics enablement
- • Experience with Oracle, SQL Server, Salesforce/CRM, JDE/ERP, and legacy BI ecosystems including MicroStrategy
- • Experience with Git, CI/CD pipelines, Azure DevOps, GitHub Actions, Jenkins or equivalent tools, Terraform/IaC, monitoring, and operationalization frameworks
- • Strong proficiency in SQL, PySpark, Python, and Spark SQL
- • Understanding of analytics and KPIs across procurement, supplier performance, inventory, demand planning, manufacturing, margin/cost analysis, and operational efficiency
- • Executive-level communication, stakeholder management, consulting, workshop facilitation, requirements discovery, and architecture documentation skills
- • Strategic, hands-on Databricks leader who can architect, build, troubleshoot, modernize BI platforms, influence executives, and guide onshore/offshore teams from strategy through implementation
- • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration , or a related field
- 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
Benefits
- 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
Company Overview