Senior Databricks Architect: Data Mesh & Lakehouse

Infosys; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Infosys is seeking a Data Architect in London to design, build and operate scalable data pipelines and data products leveraging Databricks, Spark, PySpark/SQL, and data lake architectures. The role focuses on integrating legacy systems with cloud-native platforms to support analytics and domain-owned data products.

You will implement real-time ingestion with Confluent Kafka and land data in Amazon S3, while applying medallion architecture and governance across pipelines to ensure data quality

Qualifications

• 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.

Responsibilities

• 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.

Skills

Databricks / Spark

Kafka / Confluent Kafka

Legacy data integration (DB2, SQL)

AWS data services (S3)

Data mesh concepts

Job description

Infosys is seeking a Data Architect in London to design, build and operate scalable data pipelines and data products leveraging Databricks, Spark, PySpark/SQL, and data lake architectures. The role focuses on integrating legacy systems with cloud-native platforms to support analytics and domain-owned data products.

You will implement real-time ingestion with Confluent Kafka and land data in Amazon S3, while applying medallion architecture and governance across pipelines to ensure data quality