Job Description

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.
- Solid 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.
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📌 Data architect (Pune)
🏢 Barclays
📍 Pune