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# Databricks Architect

- **Company:** Infosys Limited
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Data Governance, Data Transformation, IBM DB2, Meta-Data Management, Microsoft SQL Server, Alwayson, Data Analytics, Data Management, Confluent, Databricks
- **Published:** September 17, 2026
- **Apply:** https://www.themuse.com/jobs/infosys/senior-technology-architect-databricks-uk

## About the Role

* Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures.
 * Hands-on experience with streaming technologies, especially Kafka / Confluent Kafka.
 * Experience integrating legacy data sources such as DB2 (mainframe) and SQL Server.
 * Working knowledge of AWS data services, especially S3.
 * Understanding of data product thinking, data mesh concepts, and modern data engineering best practices., * Experience in banking or financial services data platforms.
 * Familiarity with data governance, metadata management, and regulatory reporting

Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:

 * High analytical skills
 * A high degree of initiative and flexibility
 * High customer orientation
 * High quality awareness
 * Excellent verbal and written communication skills

## Description

We are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses on integrating legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products., * Build and maintain batch and streaming data pipelines from legacy mainframe DB2 and on prem SQL Server systems into an AWS-based data lake., * Implement real-time ingestion using Confluent Kafka and land data in Amazon S3.

 * Develop data transformations and analytics pipelines in Databricks using the medallion architecture (Bronze, Silver, Gold).
 * Design and deliver high-quality, reusable data products aligned to data mesh principles.
 * Ensure data quality, reliability, security, and governance across pipelines.
 * Collaborate with domain teams, platform teams, and stakeholders to enable self-serve analytics and consumption., With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.