Job Overview
AWS Data Architect at Capgemini. Part of the Cloud Data Platforms team within the Insights and Data Global Practice, driving digital and data transformation using modern cloud platforms.
Your Role
* Lead the design and implementation of cloud-native data platforms using AWS.
* Architect and deliver data modernisation strategies, transitioning legacy systems to scalable, cloud-native solutions.
* Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads.
* Collaborate with other solution architects to ensure alignment with enterprise architecture.
* Act as a technical liaison between Sales, Delivery, and Client teams.
* Support proposal writing, solution direction, pricing, and costing.
* Define and implement data governance, security, and compliance strategies.
* Work hands‑on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and more.
* Contribute to pre‑sales activities and client bid responses.
* Mentor junior team members and contribute to internal capability building.
Your Skills And Experience
* Proven experience in AWS cloud architecture, particularly in data and analytics.
* Strong hands‑on expertise with AWS services (Redshift, Glue, Lake Formation, SageMaker).
* Experience designing scalable data platforms, including data lakes, lakehouses, and real‑time analytics.
* Demonstrated success in data modernisation projects, including migration from on‑premise to cloud‑native platforms.
* Knowledge of automation tooling (e.g., CI/CD with AWS DevOps).
* Familiarity with containerisation and orchestration tools (Docker, Kubernetes).
* Understanding of IaaS, PaaS, SaaS models.
* Experience with other cloud platforms (Azure, GCP) is a plus.
* Excellent communication and stakeholder engagement skills.
* AWS Certified Solutions Architect and/or industry certifications such as TOGAF 9 or equivalent.
Desirable Skills & Experience
* Experience with data platforms like Databricks, Snowflake, Quantexa, Palantir or SAS.
* Exposure to AI/ML use cases and GenAI technologies.
* Background in Public Sector or other regulated industries.
Your Security Clearance
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. Applicants must have resided continuously within the United Kingdom for the last five years, among other criteria. The recruitment process will include questions about security clearance eligibility such as country of residence and nationality.
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