Senior Databricks Architect - Data Mesh & Streaming Tech

Senior Databricks Architect - Data Mesh & Streaming Tech

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Infosys Limited

At a Glance

  • Tasks: Design and build scalable data pipelines using Databricks and cloud-native platforms.
  • Company: Infosys Limited, a leading tech company in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of an innovative environment focused on modern data solutions.
  • Why this job: Join a dynamic team and shape the future of data architecture.
  • Qualifications: Experience with Databricks, Kafka, and AWS S3 is essential.

The predicted salary is between 80000 - 100000 Β£ per year.

Infosys Limited in London is seeking a Senior Databricks Architect to design, build, and operate scalable data pipelines and data products that enable a modern data mesh. The role focuses on integrating legacy systems with cloud-native platforms for analytics, reporting, and domain-owned data products, with hands-on work in Databricks, Kafka, and AWS S3.

You will implement batch and streaming pipelines, apply the Bronze-Silver-Gold medallion architecture, ensure data quality and governance.

Senior Databricks Architect - Data Mesh & Streaming Tech employer: Infosys Limited

At Infosys, we pride ourselves on being an exceptional employer, particularly for the Quality Engineering Lead role in Leeds. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. With competitive compensation, including bonuses, and a focus on diversity and inclusion, we create a rewarding environment where you can thrive both personally and professionally.

Infosys Limited

Contact Details:

Infosys Limited Recruitment Team

We think you need these skills to ace Senior Databricks Architect - Data Mesh & Streaming Tech

SQL
Python
Communication Skills
Data Engineering
Problem-Solving Skills
Data Pipeline Development
Automation