Databricks Data Architect — Streaming, Data Mesh & AWS

Infosys; København; On-site; DKK 900,000 - 1,500,000; Full time

Job summary

Infosys is seeking a Senior Databricks Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. You will integrate legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products.

The role requires hands-on Databricks (Spark, PySpark/SQL), streaming with Kafka, and experience with DB2 and SQL Server.

Qualifications

• Build scalable data pipelines and data products following data mesh principles.
• Hands-on Databricks, Spark, PySpark/SQL for analytics and transformations.
• Experience with streaming ingestion and data lake landings in AWS.

Responsibilities

• Build and maintain batch and streaming data pipelines from legacy mainframe DB2 and on prem SQL Server to AWS data lake.
• Implement real-time ingestion using Kafka and land data in Amazon S3.
• Develop data transformations and analytics pipelines in Databricks using Bronze/Silver/Gold layers.
• Design and deliver high-quality reusable data products aligned to data mesh.
• Ensure data quality, reliability, security, and governance across pipelines.
• Collaborate with domain and platform teams to enable self-serve analytics.

Skills

Databricks

Data mesh concepts

Streaming data

Tools

Kafka/Confluent Kafka

DB2

SQL Server

AWS S3

Job description

Infosys is seeking a Senior Databricks Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. You will integrate legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products.

The role requires hands-on Databricks (Spark, PySpark/SQL), streaming with Kafka, and experience with DB2 and SQL Server.