Azure Data Solution Architect

As a Solution Architect with an Azure and Databrick focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.

• Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
• Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
• Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
• Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
• Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
• Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices.
• Be a Databricks champion or on the pathway to become one

Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements., You will bring deep experience delivering data platforms and data architecture within complex public sector environments, with a strong understanding of government operating models, regulatory obligations, and the need for trusted, mission critical data. You will have a proven ability to design secure, scalable, and well governed data foundations that support analytics, AI, and GenAI while meeting requirements for data protection, sovereignty, transparency, and auditability. You will be comfortable working with senior stakeholders to translate outcomes into pragmatic data and AI architectures, balancing innovation with risk management. You will bring strong leadership and collaboration skills, enabling multi supplier delivery teams to align around shared standards, reuse platforms effectively, and build sustainable data capabilities that deliver long term value for citizens and public services., * Minimum 7+ years of experience as a Data Architect with experience in designing, developing and implementing Databricks solutions

• Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices.
• Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
• Excellent problem-solving and analytical skills and strong communication and teamwork skills.
• Passion for data and a thirst for learning and is either already a Databricks champion or working towards it
• Relevant Architecture certifications from Microsoft and Databricks

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.