Associate Architect (Data ETL)
Posted on February 24, 2026
Job Description
Job Summary
We are looking for an experienced Azure ETL Lead to design, build, and manage
scalable BI and data solutions on Azure. The role requires strong expertise in Azure
Data Services, SQL Server, SSIS, ETL/ELT pipelines, and BI tools like Power BI.
The ideal candidate will lead data architecture, modernize legacy systems, and
ensure high performance, scalability, and reliability.
Key Responsibilities
ï‚· Design and implement end-to-end BI and data solutions on Azure.
ï‚· Build and manage ETL/ELT pipelines using Azure Data Factory and SSIS.
ï‚· Develop and optimize SQL queries, stored procedures, and data models.
ï‚· Modernize legacy data integrations and systems.
ï‚· Implement high availability and disaster recovery strategies.
ï‚· Develop dashboards and reports using Power BI.
ï‚· Monitor, troubleshoot, and optimize data pipelines and BI systems.
ï‚· Collaborate with business and technical teams to deliver scalable solutions.
Requirements
ï‚· 6+ years of experience in Data Engineering or BI roles.
ï‚· Strong expertise in SQL Server, SSIS, and Azure Data Services (ADF,
Synapse, Data Lake).
ï‚· Experience designing scalable and high-availability data systems.
ï‚· Hands-on experience with Power BI.
ï‚· Strong analytical, problem-solving, and communication skills.
We are looking for an experienced Azure ETL Lead to design, build, and manage
scalable BI and data solutions on Azure. The role requires strong expertise in Azure
Data Services, SQL Server, SSIS, ETL/ELT pipelines, and BI tools like Power BI.
The ideal candidate will lead data architecture, modernize legacy systems, and
ensure high performance, scalability, and reliability.
Key Responsibilities
ï‚· Design and implement end-to-end BI and data solutions on Azure.
ï‚· Build and manage ETL/ELT pipelines using Azure Data Factory and SSIS.
ï‚· Develop and optimize SQL queries, stored procedures, and data models.
ï‚· Modernize legacy data integrations and systems.
ï‚· Implement high availability and disaster recovery strategies.
ï‚· Develop dashboards and reports using Power BI.
ï‚· Monitor, troubleshoot, and optimize data pipelines and BI systems.
ï‚· Collaborate with business and technical teams to deliver scalable solutions.
Requirements
ï‚· 6+ years of experience in Data Engineering or BI roles.
ï‚· Strong expertise in SQL Server, SSIS, and Azure Data Services (ADF,
Synapse, Data Lake).
ï‚· Experience designing scalable and high-availability data systems.
ï‚· Hands-on experience with Power BI.
ï‚· Strong analytical, problem-solving, and communication skills.
Required Skills
No specific skills listed.
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