Job Description

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 roadmap
• Design 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 platforms
• Evaluate 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 BI
• Architect and develop Semantic Layer needed for consumption layer - BI, AI etc

Optimization & 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 client
• Tracking and reporting of SLA's/KPI's to executive leadership
• Identify and rollout solutions for improving SLA/KPI adherence

What you will bring

Experience:

• 18+ years in data engineering/architecture, with 5+ years in leading enterprise-scale cloud data transformations.
• Experience in Healthcare Payer industry
• Experience defining Enterprise level data strategy and roadmap and driving the implementation for at-least 3 enterprise clients
• Experience 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 have
• Experienced in implementing Snowflake on Azure as well as Medallion lakehouse Architecture using Databricks and MS Fabric using open table formats
• Experienced in various data modelling techniques and standards for cloud data warehouses
• Experienced in designing and implementing high performing data pipelines; performance tuning expertise is required
• Experienced with Data Governance implementation with focus on Metadata Management using Alation and Data Quality using Industry standard tools
• Experienced with BI Modernization from legacy BI platforms to Power BI - Big plus

Technical Skills :

• Data platforms: Snowflake - Must have, Databricks, MS Fabric -Big Plus Synapse, Redshift, Big Query - Good to have
• Data integration: Azure Data Factory, DBT, Azure Databricks, Snowpipe,Informatica Power Center, IDMC CDI, Matillion, Kafka
• Programming: SQL, Python, SnowSQL, SnowPark, PySpark, Scala, or Java.
• Data Governance: Alation - Must have, Informatica, Collibra, Ataccama
• BI Platforms: PowerBI Must have, Qlik, SSRS, SAS - good to have
• Infrastructure 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 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
• Paid Parental Leave
• Adoption, Surrogacy & Cryopreservation Assistance
• Subsidized Back-up Child/Elder Care & Tutoring
• Career Planning & Coaching
• $5,250 Tuition Reimbursement & 20,000+ Online Courses
• Employee Resource Groups
• Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
• Disaster Relief Programs

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 |

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.

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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.

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