Azure Data Lead - Baseline clearance

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are hiring a Data Engineering Lead with hands-on expertise in designing and delivering world-class, end-to-end data engineering solutions. The ideal candidate will have strong expertise in data architecture, ETL processes, big data technologies, and cloud-based solutions. You will work closely with stakeholders to design, build, and manage scalable data platforms that support business intelligence, analytics, and machine learning applications.

Key Responsibilities:

• Lead the design, development, and deployment of scalable data pipelines on Azure Cloud .
• Architect and implement data solutions using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure SQL .
• Optimize ETL/ELT pipelines for efficient data ingestion, transformation, and storage .
• Develop and maintain data models to support business reporting and analytics needs.
• Collaborate with data scientists, analysts, and business teams to enable data-driven decision-making.
• Implement data governance, security, and compliance best practices in alignment with industry standards.
• Monitor and troubleshoot data workflows , ensuring high availability and performance.
• Lead a team of data engineers , providing technical guidance, mentoring, and support.
• Citizen with baseline clearance is a must.

Required Skills & Qualifications:

• 8+ years of experience in data engineering, architecture, and cloud solutions .
• Expertise in Azure Data Platform (Azure Data Factory, Databricks, Synapse Analytics, Data Lake, Azure SQL, etc.).
• Strong SQL, Python, and Spark programming skills.
• Experience with Big Data processing frameworks and streaming technologies (Kafka, Event Hub, etc.).
• Hands-on experience with ETL/ELT pipelines , data modeling, and performance tuning.
• Knowledge of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.) .
• Strong problem-solving skills and ability to work in agile environments .
• Excellent communication and stakeholder management skills.

What you’ll love about working here:

• We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.