About the job
We are seeking a highly skilled Cloud Data Transformation Architect / Leader to lead the design, implementation, and optimization of large-scale cloud-based data platforms and transformation initiatives. The architect will play a critical role in defining data strategy and roadmap, modernizing legacy environments, and enabling advanced analytics and AI / ML capabilities. This position requires deep expertise in cloud ecosystems, data integration, governance, and performance optimization, along with strong leadership in guiding cross-functional teams. The Transformation leader will drive the implementation roadmap and work with client leadership to demonstrate the ROI of the modernized platform and transformation roadmap.
What you will do at Sogeti
Advisory Consulting, Collaboration & Leadership
- Provide leadership and advisory consulting to client data and analytics leadership
- Partner with business stakeholders, data leaders, data engineers, and analysts to understand business needs and align with data capabilities
- Provide CXO level status reporting and communication along with ROI and NPV measurement / reporting
- Provide technical leadership, mentorship, and best practices for data engineering teams.
- Serve as the subject matter expert on cloud data and analytics transformation.
Data Strategy, Roadmap & Architecture
Define and maintain the enterprise cloud data architecture, strategy and roadmap aligned with business objectives.Define key metrics to measure progress and ROI from the roadmapDesign end-to-end cloud data ecosystems (data lakes, data warehouses, lakehouses, streaming pipelines).Design metadata-driven architecture and open table formats (Delta Lake, Apache Hudi, and Apache Iceberg)Experienced in implementing cost management measures on Cloud data platformsEvaluate emerging technologies and recommend adoption strategies.Data Transformation & Migration
Lead the modernization of on-premises data platforms to cloud-native architectures.Architect scalable, secure, and high-performance ETL / ELT and real-time data pipelines.Ensure seamless integration of structured, semi-structured, and unstructured data.Governance & Security
Implement data governance, lineage, cataloging, and quality frameworks.Ensure compliance with regulatory standards (GDPR, HIPAA, SOC 2, etc.).Define data security models for data access, encryption, and masking.BI Modernization
Lead the modernization of legacy BI platforms to Power BIArchitect and develop Semantic Layer needed for consumption layer - BI, AI etcOptimization & Innovation
Drive performance tuning, cost optimization, and scalability of cloud data platforms.Explore opportunities to leverage AI / ML, advanced analytics, and automation in data transformation.Establish reusable frameworks and accelerators for faster delivery.Data Operations :
Definition of SLA's / KPI's for Data Platform operations along with the clientTracking and reporting of SLA's / KPI's to executive leadershipIdentify and rollout solutions for improving SLA / KPI adherenceWhat you will bring
Experience :
18+ years in data engineering / architecture, with 5+ years in leading enterprise-scale cloud data transformations.Experience in Healthcare Payer industryExperience defining Enterprise level data strategy and roadmap and driving the implementation for at-least 3 enterprise clientsExperience with playing key advisory role for client data and analytics leadership (CDO and direct reports)Hands-on expertise with at least one major cloud provider - Azure is must have AWS,GCP is good to haveExperienced in implementing Snowflake on Azure as well as Medallion lakehouse Architecture using Databricks and MS Fabric using open table formatsExperienced in various data modelling techniques and standards for cloud data warehousesExperienced in designing and implementing high performing data pipelines; performance tuning expertise is requiredExperienced with Data Governance implementation with focus on Metadata Management using Alation and Data Quality using Industry standard toolsExperienced with BI Modernization from legacy BI platforms to Power BI - Big plusTechnical Skills :
Data platforms : Snowflake - Must have, Databricks, MS Fabric -Big Plus Synapse, Redshift, Big Query - Good to haveData integration : Azure Data Factory, DBT, Azure Databricks, Snowpipe,Informatica Power Center, IDMC CDI, Matillion, KafkaProgramming : SQL, Python, SnowSQL, SnowPark, PySpark, Scala, or Java.Data Governance : Alation - Must have, Informatica, Collibra, AtaccamaBI Platforms : PowerBI Must have, Qlik, SSRS, SAS - good to haveInfrastructure as Code : Terraform, ARM, CloudFormation.Strong understanding of APIs, microservices, and event-driven architectures.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 options401(k) with 150% match up to 6%Employee Share Ownership PlanMedical, Prescription, Dental & Vision InsuranceLife Insurance100% Company-Paid Mobile Phone Plan3 Weeks PTO + 7 Paid HolidaysPaid Parental LeaveAdoption, Surrogacy & Cryopreservation AssistanceSubsidized Back-up Child / Elder Care & TutoringCareer Planning & Coaching$5,250 Tuition Reimbursement & 20,000+ Online CoursesEmployee Resource GroupsCounseling & Support for Physical, Financial, Emotional & Spiritual Well-beingDisaster Relief ProgramsAbout 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.
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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.
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