Delivery Lead/Senior Data Engineer 3

1203 Barclays Global Serv. Cent; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

1203 Barclays Global Serv. Cent seeks a Vice President to lead the development of enterprise-scale data platforms in Pune, India. The role includes building and maintaining data pipelines while collaborating with Data Scientists for machine learning initiatives.

Candidates should have strong experience in cloud data architectures, particularly with AWS and Snowflake, alongside leadership capabilities to manage risks and ensure security compliance. Advanced skills in Python and SQL are essential.

Qualifications

• Proven leadership experience delivering enterprise-scale data platforms.
• Deep expertise in cloud data architecture with hands-on AWS data platforms.
• Advanced proficiency in Python, PySpark, and SQL.

Responsibilities

• Build and maintain data architecture pipelines.
• Collaborate with Data Scientists on machine learning models.
• Advise stakeholders on functional impacts and control governance.

Skills

Leadership experience

Deep expertise in cloud data architecture

Advanced proficiency in Python

Understanding of cloud security

Strong knowledge of data governance

Tools

AWS Glue

Snowflake

Jenkins

GitLab

Job description

Job Description Purpose

Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, warehouses and lakes to ensure accuracy, accessibility, and security.

Accountabilities

• Build and maintain data architecture pipelines enabling durable, complete, and consistent data transfer and processing.
• Design and implement data warehouses and lakes that manage required volumes and velocity while adhering to security measures.
• Develop processing and analysis algorithms suitable for data complexity and volumes.
• Collaborate with Data Scientists to build and deploy machine learning models.

Vice President Expectations

Contribute to strategy, drive requirements, plan resources, budgets, and policies, and deliver continuous improvements. Lead departmental operations and counsel employees where applicable.

Leadership Behaviours

• Listen and be authentic.
• Energise and inspire.
• Align across the enterprise.
• Develop others.

Individual Contributor Responsibilities

• Act as subject‑matter expert and guide technical direction.
• Lead collaborative, multi‑year assignments and guide team members.
• Train, guide and coach less experienced specialists.
• Advise stakeholders on functional and cross‑functional impacts.
• Manage and mitigate risks and control governance.
• Collaborate across areas to support business alignment.
• Create solutions based on sophisticated analytical thought.
• Adopt research outcomes in problem‑solving processes.
• Build and maintain trusting relationships with stakeholders.

Qualifications

• Proven leadership experience delivering enterprise‑scale data platforms and architectures in complex, regulated environments.
• Deep expertise in cloud data architecture and distributed computing paradigms with hands‑on AWS data platforms: Glue, Lambda, S3, Redshift, Athena, and Databricks.
• Strong experience with modern analytical data platforms such as Snowflake, including architecture design, data modelling, workload optimisation and cost governance.
• Advanced knowledge of data modelling techniques, dimensional modelling, schema evolution and design patterns for analytics, reporting and downstream consumption.
• Demonstrated ability to define and govern data architecture standards, reference architectures and engineering frameworks across multiple teams.
• Strong understanding of cloud security, IAM, data access controls and platform governance, with experience implementing fine‑grained data security using tools such as Immuta.
• Advanced proficiency in Python, PySpark and SQL with ability to guide teams on performance optimisation and scalable design.
• Experience leading DevOps and CI/CD strategies for data platforms using Jenkins, GitLab, embedding quality, automation and reliability.
• Strong knowledge of data governance, metadata management, data quality and data mesh concepts, influencing enterprise‑wide adoption.
• Ability to communicate complex technical concepts clearly to senior leadership, influencing architectural and investment decisions.
• Leadership exposure to real‑time and event‑driven architectures such as Apache Kafka, Spark Streaming or similar.
• Strategic understanding of DBT and analytics engineering practices for scalable transformation and modelling.
• Experience operating data platforms within regulatory, risk‑controlled, or large financial services environments.
• Experience supporting or enabling machine learning and AI workloads in partnership with Data Science or AI teams.

Additional Skills and Assessment

Primary key skills: risk and controls, change and transformation, business acumen, strategic thinking, digital technology, and job‑specific technical skills.

Location

Pune, India.