Databricks Architect

City: Bengaluru

State/Province: Karnataka

Posting Start Date: 2/12/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Role Purpose

The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction.

D atabricks Architect

Key Responsibilities:• Design, develop, and optimize ETL/ELT pipelines in Databricks.• Implement real-time and batch data processing solutions using Apache Spark and Delta Lake.• Develop PySpark/Scala-based data transformation scripts for large-scale data processing.• Ensure data quality, performance tuning, and cost optimization within Databricks.• Implement CI/CD pipelines for Databricks workflows using Terraform, GitHub Actions, or Azure DevOps.• Monitor, troubleshoot, and optimize Databricks clusters, jobs, and queries.• Collaborate with Data Architects, Business Analysts, and DevOps teams to align solutions with business needs.Required Skills:• Strong expertise in Databricks (AWS) and Apache Spark.• Proficiency in PySpark for data engineering workflows.• Experience with Delta Lake, Unity Catalog, and Databricks SQL.• Hands-on experience with Kafka, APIs, and streaming data processing.• Proficiency in SQL for querying and performance tuning.• Experience in DevOps and CI/CD pipelines for Databricks.• Good understanding of Data Governance, Security, and Access Control in Databricks.Good to Have• Experience with AWS Glue, Azure Data Factory or Snowflake.• Familiarity with Terraform, Databricks CLI, and automation frameworks

Key Responsibilities:• Design, develop, and optimize ETL/ELT pipelines in Databricks.• Implement real-time and batch data processing solutions using Apache Spark and Delta Lake.• Develop PySpark/Scala-based data transformation scripts for large-scale data processing.• Ensure data quality, performance tuning, and cost optimization within Databricks.• Implement CI/CD pipelines for Databricks workflows using Terraform, GitHub Actions, or Azure DevOps.• Monitor, troubleshoot, and optimize Databricks clusters, jobs, and queries.• Collaborate with Data Architects, Business Analysts, and DevOps teams to align solutions with business needs.Required Skills:• Strong expertise in Databricks (AWS) and Apache Spark.• Proficiency in PySpark for data engineering workflows.• Experience with Delta Lake, Unity Catalog, and Databricks SQL.• Hands-on experience with Kafka, APIs, and streaming data processing.• Proficiency in SQL for querying and performance tuning.• Experience in DevOps and CI/CD pipelines for Databricks.• Good understanding of Data Governance, Security, and Access Control in Databricks.Good to Have• Experience with AWS Glue, Azure Data Factory or Snowflake.• Familiarity with Terraform, Databricks CLI, and automation frameworks

Key Responsibilities:• Design, develop, and optimize ETL/ELT pipelines in Databricks.• Implement real-time and batch data processing solutions using Apache Spark and Delta Lake.• Develop PySpark/Scala-based data transformation scripts for large-scale data processing.• Ensure data quality, performance tuning, and cost optimization within Databricks.• Implement CI/CD pipelines for Databricks workflows using Terraform, GitHub Actions, or Azure DevOps.• Monitor, troubleshoot, and optimize Databricks clusters, jobs, and queries.• Collaborate with Data Architects, Business Analysts, and DevOps teams to align solutions with business needs.Required Skills:• Strong expertise in Databricks (AWS) and Apache Spark.• Proficiency in PySpark for data engineering workflows.• Experience with Delta Lake, Unity Catalog, and Databricks SQL.• Hands-on experience with Kafka, APIs, and streaming data processing.• Proficiency in SQL for querying and performance tuning.• Experience in DevOps and CI/CD pipelines for Databricks.• Good understanding of Data Governance, Security, and Access Control in Databricks.Good to Have• Experience with AWS Glue, Azure Data Factory or Snowflake.• Familiarity with Terraform, Databricks CLI, and automation frameworks

Key Responsibilities:• Design, develop, and optimize ETL/ELT pipelines in Databricks.• Implement real-time and batch data processing solutions using Apache Spark and Delta Lake.• Develop PySpark/Scala-based data transformation scripts for large-scale data processing.• Ensure data quality, performance tuning, and cost optimization within Databricks.• Implement CI/CD pipelines for Databricks workflows using Terraform, GitHub Actions, or Azure DevOps.• Monitor, troubleshoot, and optimize Databricks clusters, jobs, and queries.• Collaborate with Data Architects, Business Analysts, and DevOps teams to align solutions with business needs.Required Skills:• Strong expertise in Databricks (AWS) and Apache Spark.• Proficiency in PySpark for data engineering workflows.• Experience with Delta Lake, Unity Catalog, and Databricks SQL.• Hands-on experience with Kafka, APIs, and streaming data processing.• Proficiency in SQL for querying and performance tuning.• Experience in DevOps and CI/CD pipelines for Databricks.• Good understanding of Data Governance, Security, and Access Control in Databricks.Good to Have• Experience with AWS Glue, Azure Data Factory or Snowflake.• Familiarity with Terraform, Databricks CLI, and automation frameworks