Enterprise Architect - Data Intelligence Platform

Enterprise Architect - Data Intelligence Platform bij Capgemini

Reports to: Design Authority – Enterprise Automation Fabric Platform Lead

About Capgemini:

We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

Job Summary:

We are looking for an experienced and highly skilled Data Architect to join our Design Authority Team to determine and advance the technology deployed within CIS Managed Services. As our Data Intelligence Platform Architect, you will oversee our Data Intelligence Platform built on Databricks.

You will be responsible for defining the vision, strategy, data architecture, and the solution design of our data platform, ensuring scalability, data security and alignment with business objectives and driving innovation through the adoption of emerging technologies. This is a senior leadership role that requires strong expertise in Data architecture, business acumen, and excellent communication skills.

Key Responsibilities:

• Define a data architecture and strategy for a scalable, performant and secure Data Platform to operate cloud and hybrid services
• Define data standards, governance frameworks and integration patterns that align the architecture to Cloud Infrastructure Services business objectives
• Lead the design, development, and deployment of enhancements and backlog items for the Data Intelligence Platform on Databricks, including data architecture, data ingestion, data engineering, machine learning/AI, data visualization and analytics.
• Collaborate with cross-functional teams, including Operations, Transformation/Industrialization, Delivery, and Shared Services stakeholders to ensure seamless integration, relevance, and adoption of the platform.
• Develop and maintain a deep understanding of the organization's data landscape, including data governance, quality, and security.
• Stay up to date with emerging trends and technologies in data architecture, AI/ML, and cloud computing, and apply this knowledge to drive innovation and improvement in the platform.
• Develop and manage the platform's technical roadmap, ensuring alignment with business objectives, Generative AI demands for data, and industry trends.
• Develop and deploy related client-facing services into our Enterprise Automation Fabric
• Develop the annual budget to support data platform priorities for the coming year.
• Develop, submit, and defend enhancement project requests based on a researched and supported business case for securing your annual product investments.
• Lead a team of architects, engineers, and data scientists to design, develop, and implement the platform's components, including data pipelines, data lakehouses, and analytics.
• Ensure the platform's scalability, reliability, and performance, and develop strategies to optimize resource utilization and reduce costs.
• Participate in and drive Vendor Onboarding when implementing new tools/technologies.
• Develop and manage relationships with key stakeholders, including business leaders, data scientists, and engineers to ensure the platform meets business needs and expectations.

Requirements:

• 15+ years of experience in data architecture, warehousing, and engineering with a focus on large-scale data platforms and cloud computing.
• Proven track record of designing and delivering data platforms on Databricks or similar platforms such as Snowflake, including experience with related technologies such as Apache Spark, PySpark, Delta Lake, and ETL tools.
• Strong technical expertise in data architecture, data governance, data quality, and data security.
• Excellent understanding of AI/ML technologies, including machine learning, deep learning, and generative AI.
• Experience with cloud computing platforms, including AWS, Azure, and GCP.
• Strong business acumen, with the ability to understand business objectives and develop technical strategies to support them.
• Excellent communication and leadership skills, with the ability to collaborate with cross-functional teams and stakeholders.
• Knowledge of data governance frameworks and standards, such as GDPR and CCPA.
• Certification in data architecture, cloud computing, or AI/ML technologies.
• Experience with agile development methodologies and DevOps practices.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on a cutting-edge data platform, driving business growth and innovation.
• Collaborative and dynamic work environment, with a team of experienced professionals.
• Professional development opportunities, including training and certification programs.

If you are a motivated and experienced Enterprise Architect looking for a new challenge, please submit your application, including your resume and a cover letter outlining your experience and qualifications for the role.