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# Technology Architect_ Databricks

- **Company:** Infosys Limited
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data as a Services, Data Governance, Data Transformation, IBM DB2, Meta-Data Management, Microsoft SQL Server, SQL Databases, Data Streaming, Cloud Platform System, Apache Spark, Data Lakes, Pyspark, Apache Kafka, Data Management, Video Streaming, Legacy Systems, Confluent, Databricks
- **Published:** July 17, 2026
- **Apply:** https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2248422

## 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.


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