Senior Azure Data Engineer (Remote India)

NorthBay Solutions LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

NorthBay Solutions seeks an experienced Senior Data Engineer with 8–10+ years of designing and managing modern data platforms and pipelines on Microsoft Azure. You will work on batch and real-time data ingestion, data lake/warehouse/lakehouse architectures, and cloud-native ETL/ELT frameworks to support enterprise analytics and BI initiatives.

The role requires hands-on Azure expertise, data governance, and collaboration with data scientists, analysts, and application teams to deliver scalable

Qualifications

• 8–10+ years of Data Engineering and Enterprise Data Platform development.
• Hands-on experience with Microsoft Azure Data Services (ADF, Synapse, ADLS Gen2, Azure SQL).
• Experience building large-scale ETL/ELT pipelines and data integration solutions.

Responsibilities

• Design, develop, and maintain scalable data platforms and pipelines on Azure.
• Build real-time and batch data ingestion from multiple sources.
• Design data lake, data warehouse, and lakehouse architectures for analytics.
• Develop and manage ETL/ELT processes using cloud-native practices.
• Implement data quality, governance, and security across Azure environments.
• Collaborate with stakeholders and data scientists to deliver scalable solutions.
• Optimize storage, processing, and query performance across platforms.
• Support integration with AI/ML, BI, and enterprise apps.
• Participate in reviews, debugging, and architectural discussions.
• Ensure high availability and operational excellence of data platforms.

Skills

Azure Data Services

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage

SQL

PySpark

Scala

Java

Data Warehousing

ETL/ELT

CI/CD

DevOps

Security & Governance

Tools

Databricks

Delta Lake

Power BI

Job description

NorthBay Solutions seeks an experienced Senior Data Engineer with 8–10+ years of designing and managing modern data platforms and pipelines on Microsoft Azure. You will work on batch and real-time data ingestion, data lake/warehouse/lakehouse architectures, and cloud-native ETL/ELT frameworks to support enterprise analytics and BI initiatives.

The role requires hands-on Azure expertise, data governance, and collaboration with data scientists, analysts, and application teams to deliver scalable