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Data Architect
Senior Data Architect
Location: London
About the Role
We are seeking an experienced Data Architect with a minimum of 10 years of expertise in data architecture, engineering, and large-scale data platform design. This role is ideal for a hands-on professional who thrives at both architectural and engineering levels, driving solution design while actively contributing to implementation and delivery.
Working Model – Hybrid
Your work will involve a blend of:
- On-site visits to company offices and client locations
- Remote work from home (note: not 100% remote)*
Key Responsibilities
- Design and deliver data architecture solutions for the Bank’s EDL (Enterprise Data Lake) and ODS (Operational Data Store) platforms on Cloudera in AWS, taking technical ownership.
- Create end-to-end data lake and distributed data solutions aligned with business needs, ensuring integration within broader programme deliverables.
- Contribute to solution planning, influencing factory estimation, and identifying technical risks, assumptions, and areas needing remediation.
- Review and validate design artefacts produced by other data solution architects.
- Establish and promote best practices in large-scale data environments and remediation priorities covering both technology and process.
- Maintain design documentation (artefacts) independently or as part of a collaborative team.
- Collaborate with business and programmes to refine data requirements.
- Present design recommendations to the Bank’s Architecture Review Board as needed.
- Engage with stakeholders across the Group Data Office and broader business units.
- Provide expert support to non-factory solution architects on change initiatives.
- Ensure solutions align with the strategic architecture direction.
- Review technical designs to confirm alignment with overarching architecture.
- Break down complex solutions into actionable sprint elements to support iterative delivery.
- Support engineering functions in the factory (e.g., build, test, CI/CD).
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Essential Skills & Expertise
- Highly experienced solution architect with expertise in large-scale distributed data, capable of delivering in multivendor, complex change environments.
- Deep knowledge of Cloudera CDH/CDP platforms or equivalent tech (on-premise and cloud deployments).
- Practical experience with:
- Processing large datasets
- Streaming data
- Managing unstructured data sources (e.g., Cassandra, HBase, Kafka, Spark)
- Strong expertise in ETL and data pipelines, usable toolsets including Airflow/NiFi/Flink.
- Robust programming background in:
- Java
- Python
- Scala
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About Capgemini
Diversity & Wellbeing
- Disability ConfidentEmployer – Capgemini participates in the UK’s Disability Confident scheme (Level 2). Qualified candidates who disclose a disability are guaranteed an interview if they meet essential criteria.
- Employee wellbeing is prioritised:
- Wellbeing Champions trained across teams.
- Access to tools such as Thrive and Peppy.
- 50+ countries with 420,000 employees, operating in a culture built on diversity and inclusion.
Development & Growth
- Join a global Great Place to Work™ 2024 enterprise dedicated to ethics, innovation, and sustainability.
- Commitment to lifelong learning:
- Access to 250,000+ courses, including business, AI, AWS/Microsoft certifications, and Cybersecurity qualifications.
- Launch theoretical and hands-on opportunities (e.g., thinking workshops, hackathons).
Core Values & Impact
- Ranked #1 World’s Most Ethical Company for 13 years by Ethisphere®.
- Aim to scale client success while fostering ethical growth alongside inclusive practices.
- Free-thinking culture fed by entrepreneurship and technical innovation.
- Tech-driven transformation enables you to shape industry futures while delivering impactful business solutions.
Learn more: www.capgemini.com | #MakeItReal
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