Data Tech Lead

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 

Job Location - Fort Mills SC (Day One Onsite - Hybrid)

About The Role

• We are looking for a highly skilled and hands-on Data Tech Lead to architect and drive the implementation of a next-generation cloud-native data platform as part of the Bridge to the Future / Trade Hub initiative.
• This role will lead the design and delivery of real-time data pipelines, resilient data services, and scalable infrastructure supporting trading, analytics, and compliance use cases.
• The ideal candidate combines deep technical expertise in cloud data engineering with strong leadership and delivery capabilities.

Key Responsibilities

• Cloud Data Architecture & API Design
• Architect and model cloud-native data platforms using Aurora/PostgreSQL for relational data and DynamoDB for session/document stores.
• Design and implement domain-specific Source-of-Record (SOR) APIs, including:
• Schema versioning
• Caching strategies
• Data transformation and validation logic
• Real-Time Data Engineering
• Build dual-write and Change Data Capture (CDC) pipelines between Aurora and legacy SQL systems.
• Engineer MSK Kafka event streams to enable sub-second data propagation to downstream applications and analytics platforms (e.g., Redshift, Snowflake).
• Optimize for low-latency, high-throughput data flows across environments.
• Reliability, Resilience & Data Quality
• Implement robust reliability controls including:
• Idempotent writes
• Reconciliation services
• Data quality checks
• Design for high availability and disaster recovery:
• Multi-AZ and multi-region replication
• Meet or exceed 99.9% availability, RPO of 5 minutes, and RTO of 20 minutes
• Technical Leadership & Delivery Oversight
• Lead end-to-end data engineering delivery across multiple teams.
• Enforce best practices in:
• Infrastructure as Code (IaC)
• CI/CD pipelines
• Observability and monitoring
• Secure and integrate external data feeds (e.g., Beta, FIX, Bloomberg).
• Ensure compliance with governance policies and integrate cost-of-trade metrics across environments.

Required Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, with at least 3 years in a technical leadership role.
• Proven expertise in cloud-native data platforms (AWS preferred), including Aurora, DynamoDB, MSK Kafka, and Snowflake.
• Strong experience with real-time data processing, event-driven architecture, and CDC patterns.
• Deep understanding of data reliability, reconciliation, and high-availability design.
• Proficiency in SQL, Python, and infrastructure automation tools (e.g., Terraform, CloudFormation).
• Excellent communication and leadership skills.

Preferred Skills

• Experience in financial services or trading systems.
• Familiarity with FIX protocol and market data integration.
• Knowledge of data governance, entitlements, and compliance frameworks.
• Exposure to Agile/Scrum methodologies and DevOps practices.

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutorin