Incremental CRM - Senior Data Lead

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

At Barclays you will spearhead the transformation of our data landscape, driving innovation and excellence across enterprise data platforms. As a Senior Data Lead, you will leverage cutting-edge AWS technologies and Databricks to modernize and migrate SQL Server workloads into scalable, secure, and compliant cloud-native solutions. With a primary focus on AWS services including S3, Glue, Redshift, Athena, and Iceberg, alongside Python, SQL, and orchestration tools like Airflow, you will design and deliver robust data pipelines, establish strong data governance frameworks including MNPI controls, and enable high-quality, insight-driven decision-making.
 

To be successful in this role you should possess:

• Proficiency in designing and implementing scalable data platforms on AWS using services such as S3, Glue (ETL Jobs, Data Catalog), Redshift, Athena, and Iceberg with strong hands-on experience with Databricks for building notebooks, ELT pipelines, and working with distributed data processing frameworks such as Apache Spark.

  
  
  

• Expertise in migrating large-scale SQL Server workloads to AWS, including defining source-to-target mappings and ensuring performance and data integrity.

  
  
  

• Proficiency in Python and SQL for developing data pipelines, transformations, and analytical workflows and Experience in building and orchestrating ETL/ELT pipelines using AWS Glue, DBT, and tools such as Airflow/Astronomer.

  
  
  

• Ability to define data contracts, design Iceberg table schemas, and implement partitioning, metadata management, and Glue Catalog integration.

  
  
  

• Strong understanding of data governance, including implementation of Lake Formation policies for row- and column-level security.

  
  
  

• Experience embedding MNPI controls, including data classification, access restrictions, and working with Compliance/CISO stakeholders.

  
  
  

• Hands-on experience with CI/CD pipelines, DevOps practices, and Agile delivery methodologies.

  
  
  

• Design and optimize data lake and warehouse solutions for structured and unstructured data across AWS platforms
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Some other highly valued skills may include:

• Strong analytical skills to analyze large datasets, identify trends, and provide actionable insights.

  
  
  

• Experience leveraging GenAI tools (GitLab Duo, Copilot, Claude) to accelerate development and code generation.

  
  
  

• Familiarity with BI tools such as Power BI or Tableau for data visualization and reporting and exposure to legacy tools such as SSIS and experience with version control systems like Git, GitHub, or GitLab.

  
  
  

• Ability to document data architecture, pipelines, and governance processes for maintainability and knowledge sharing.

  
  
  

• Strong communication and stakeholder management skills to collaborate effectively across business, technology, and compliance teams.

  
  
  

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. 
The location of the role is Pune, IN.