Databricks Senior Architect

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

Technology – Databricks (Spark, PySpark/SQL) and data lake architectures

Location – London, UK

Compensation – Competitive (including bonus)

Job 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.

Primary Skills

• 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.

Key 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.

Good to have

• Experience in banking or financial services data platforms.


• Familiarity with data governance, metadata management, and regulatory reporting

Personal

• High analytical skills


• A high degree of initiative and flexibility


• High customer orientation


• High quality awareness


• Excellent verbal and written communication skills

Overview

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Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation.

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.

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All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.