Job Description

Job Title: Azure Data Lead Engineer

Location: Fremont CA (ONSITE)

Duration: 12 Month

• Accomplished Data Architect / Senior Data Engineer with 12 years of experience designing and modernizing enterprise data platforms across banking healthcare and retail domains
• Architected scalable ETL/ELT pipelines using Python PySpark Databricks AWS Glue and Azure Data Factory supporting high-volume transactional and regulatory data processing.
• Led enterprise-scale Data Architecture initiatives defining logical and physical data models governance standards and cloud-native platform blueprints across AWS and Azure environments.
• Designed and implemented Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake S3 ADLS Gen2 Snowflake Redshift and Synapse Analytics.
• Engineered large-scale distributed processing workloads using Apache Spark PySpark Databricks EMR Hive and HDFS processing billions of records for enterprise analytics.
• Orchestrated complex data workflows using Apache Airflow Databricks Workflows AWS Step Functions and Azure Data Factory triggers ensuring SLA-driven pipeline execution.
• Strong hands-on experience in Advanced SQL including complex joins CTEs window functions stored procedures indexing strategies partitioning and execution plan optimization across Snowflake PostgreSQL and Oracle.
• Built real-time streaming architectures using Apache Kafka AWS Kinesis Azure Event Hub and Service Bus supporting fraud detection claims monitoring and operational telemetry.

Job Tags

Similar Jobs