Data architect

Job description

Job Description Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders 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. Join us as a Data Architect Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data Architect you should have experience with: - Design and govern end‑to‑end data architectures, covering ingestion, processing, storage, and analytics. Define lakehouse and distributed data processing architectures leveraging Apache Spark/Airflow on AWS (e.g. EMR / Glue). Establish logical and physical data models optimised for analytics and large‑scale data processing. Ensure architectural alignment with enterprise data standards and cloud best practices. Partner with data engineering teams to define Spark‑based data processing patterns for batch and large‑scale transformations. Guide development of Python‑based data pipelines for ingestion, transformation, and orchestration. Support optimisation of SQL‑based analytics, including complex queries, performance tuning, and consumption‑layer design. Bachelor’s degree in computer science, Engineering, or related discipline. AWS certifications preferred. Strong experience designing Cloud‑based data platforms in enterprise environments. Hands‑on experience with Apache Spark, Airflow for large‑scale data processing and transformation. Strong programming experience in Python for data engineering and pipeline development. Advanced SQL skills, including: Analytical queries. Performance optimization. Data validation and reconciliation. Solid understanding of data modelling, distributed data processing, and analytics workloads. Some other highly valued skills may include: - Deep knowledge of AWS data services. S3, Glue, Athena, Redshift, EMR, Lake Formation. Experience designing batch and analytical processing architectures using Spark and SQL. Good to have Astronomer and Databricks knowledge. Understanding of data ingestion, hydration, curation, and consumption patterns. Proven experience in enterprise data architecture and governance. Strong understanding of data quality, lineage, metadata, and security controls. Experience working in regulated environments (banking / financial services preferred). Ability to translate business requirements into scalable Spark / SQL‑based data solutions. Strong stakeholder communication and architecture documentation skills. Comfortable operating across architecture, engineering, and delivery teams. You may be assessed on the 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. This role is based in Pune.