29 days ago
Manchester, United Kingdom +3 moreSenior
Responsibilities
- Design and lead delivery of scalable, secure, governed data platforms for analytics, AI, GenAI, and decision-making.
- Use Databricks and Apache Spark to build data platforms and load data into Azure Data Lake Storage and other Azure services.
- Design and oversee data warehouses and lakehouses, including data models, data quality checks, and governance practices.
- Design, build, and deploy AI/ML models and integrate machine learning into data pipelines using Databricks ML and Azure ML.
- Monitor and optimize data pipelines and infrastructure by analyzing performance and resolving bottlenecks.
- Collaborate with business analysts, data scientists, DevOps engineers, senior stakeholders, and multi-supplier delivery teams.
- Translate business and public-sector outcomes into pragmatic architectures that meet data protection, sovereignty, transparency, and auditability requirements.
- Champion Databricks adoption and stay current with evolving big-data technologies and practices.
Requirements
- At least 7 years of experience as a Data Architect, including designing, developing, and implementing Databricks solutions.
- Proven expertise in Databricks, Apache Spark, data platforms, and data warehousing concepts and practices.
- Experience with Microsoft Azure, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
- Experience delivering secure, scalable, governed data platforms in complex public-sector environments.
- Strong problem-solving, analytical, communication, teamwork, leadership, and stakeholder-collaboration skills.
- Existing Databricks Champion status or a demonstrated path toward becoming one.
- Relevant architecture certifications from Microsoft and Databricks.
- Eligibility to obtain UK Security Check (SC) clearance, including continuous UK residence for the last five years and satisfaction of other clearance criteria.
Benefits
- Hybrid-first working across company offices, client sites, and home, with no 100% home-working arrangement.
- Flexible working arrangements are available to all UK employees.
- Training and development opportunities including thinktanks, hackathons, up to 250,000 courses, and external certifications.
- Pre-employment checks include identity, nationality or immigration status, three years of employment history, and an unspent criminal record check.
Tech Stack
Categories
Data EngineeringML Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.