About the Company: Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

About the Role: We are seeking a highly skilled Technical Architect with a strong focus on Databricks to design and implement scalable data platforms and pipelines. The ideal candidate will lead the migration from legacy systems to a modern Lakehouse architecture, ensuring data governance, quality, and security while collaborating with various stakeholders to align technical solutions with business objectives.

Key Responsibilities: Design and implement scalable data platforms and pipelines using Azure Databricks, Apache Spark, Delta Lake, and MLflow. Lead the migration from legacy platforms to Lakehouse architecture. Develop batch and streaming data pipelines for ingestion, transformation, and analytics. Establish standards for data governance, quality, and security. Collaborate with stakeholders to align architecture with business goals. Mentor data engineers and developers on Databricks best practices. Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, and Azure Data Factory.