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Barclays

Wealth management services for UK clients

Data Architect

Data EngineeringPosted on Nov 12
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • Strong experience in AWS data engineering, including S3, Glue, EMR, Athena, and IAM.
  • Advanced Python development skills for data engineering.
  • Strong hands-on experience with Apache Spark and PySpark.
  • Proven experience developing, optimising, and using notebooks and jobs in Databricks.
  • Hands-on experience with Apache Airflow and Astronomer.
  • Strong SQL skills and experience working with large datasets.
  • Experience with CI/CD, Git-based version control, and DevOps practices for data platforms.
  • Understanding of data modelling, lakehouse architecture, and analytics-ready data design.
  • Experience implementing data quality, validation, and reconciliation frameworks.
  • Familiarity with metadata, lineage, and data governance concepts.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Ownership and accountability for technical deliverables.
  • Problem-solving and analytical capability.
  • Ability to communicate across technical and non-technical stakeholders.
  • Experience working in financial services or regulated environments is preferred.
  • Understanding of risk, controls, resilience, security, and audit requirements is preferred.

Responsibilities

  • Design, develop, and implement solutions to complex business problems in collaboration with stakeholders, balancing technology risks against business delivery and driving consistency.
  • Design and develop solutions as evolving products that meet business requirements, align with modern software engineering practices and automated delivery tooling, and identify and implement appropriate technologies and platforms.
  • Apply workload placement strategies that maximise cloud capabilities, including elasticity, serverless computing, and containerisation.
  • Create best-practice designs incorporating security principles such as defence in depth and blast-radius reduction, while meeting resiliency expectations.
  • Balance risks and controls to deliver agreed business and technology value.
  • Adopt standardised solutions where suitable and contribute to their evolution when no standard solution fits.
  • Support operational teams with fault finding and performance issues using available tooling.
  • Assess solution design impacts on risk, capacity, and cost, including project-change estimates and ongoing run costs.
  • Develop architecture inputs and design artefacts required for architecture, privacy, security, and records-management governance processes.
  • Own logical and physical data design for curated, conformed, and consumption-ready datasets.
  • Translate business and analytical requirements into scalable data models, including dimensional, domain-oriented, and lakehouse patterns.
  • Contribute to data architecture decisions aligned with Barclays cloud, security, and governance standards.
  • Design and develop end-to-end data pipelines using AWS, Apache Spark/PySpark, and Databricks.
  • Build ingestion, transformation, and curation pipelines for structured and semi-structured data, ensuring they are performance-optimised, cost-efficient, and resilient.
  • Develop and manage workflows using Apache Airflow and operate Airflow pipelines on Astronomer in line with enterprise scheduling, monitoring, and alerting standards.
  • Embed CI/CD pipelines, automated testing, and deployment controls for data workloads.
  • Implement data quality checks, reconciliation controls, and lineage; ensure compliance with data governance, security, privacy, and regulatory requirements; and support audit, risk, and control processes with documented, traceable data solutions.
  • Work closely with product owners, business analysts, architects, and MI/reporting teams.
  • Provide technical leadership and mentoring to junior engineers and promote engineering best practices.
  • Support production releases, incident analysis, and continuous improvement initiatives.
  • Lead a team performing complex tasks, set objectives, coach employees, appraise performance against objectives, and determine reward outcomes when acting as a People Leader.
  • Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness in collaboration with other functions and business divisions.
  • Consult on complex issues and advise People Leaders on resolving escalated issues.
  • Identify ways to mitigate risk and develop policies and procedures supporting control and governance.
  • Take ownership of managing risk and strengthening controls in relation to the work performed.
  • Coordinate work with other areas and understand how they contribute to organisational sub-function objectives.
  • Collaborate with other areas to stay informed about business activity and strategy.
  • Analyse data from multiple internal and external sources, including procedures and practices, to solve problems creatively and effectively.
  • Communicate complex or sensitive information to varied audiences and influence stakeholders to achieve outcomes.

Desired Qualifications

  • Cloud or data engineering certifications, including AWS or Databricks certifications.

About the Company

Barclays

Wealth management services for UK clients

Barclays Wealth Management helps UK clients manage and grow their wealth through a regional network of financial experts. It delivers personalized advice and services—such as investment management, financial planning, and estate and trust planning—tailored to each client’s goals, risk tolerance, and time horizon, with support from Barclays’ broader resources. What sets it apart is the combination of local, face-to-face guidance with the scale and range of a large UK bank, offering access to a wide array of financial products and research. The goal is to help clients preserve and grow their wealth over the long term by providing comprehensive, advisor-led guidance aligned with individual financial objectives.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1690

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