Senior Azure ETL Architect — Data Integration & Governance

Machine Learning Technologies, LLC; Tallahassee (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a senior ETL/Data Engineer to design, build, and optimize data pipelines across multiple sources. You will develop automated workflows with Azure Data Factory and ensure secure, fault-tolerant data movement to analytics platforms.

You will transform data using Azure Databricks and Azure Synapse, implement data quality checks, and support Power BI reporting. Strong SQL, Spark, Python/Scala, and RBAC are essential.

Qualifications

• 7+ years of experience in ETL development / data engineering.
• 3+ years hands-on experience with Azure Data Factory, Databricks, Synapse, and Purview.
• Strong experience building large-scale, high-availability ETL pipelines.
• Advanced skills in Spark, Python, and/or Scala.
• Strong SQL skills with complex datasets.
• Solid understanding of data governance, security, and RBAC in Azure.

Responsibilities

• Design, build, and optimize high-performance ETL/ELT pipelines across multiple data sources.
• Develop automated workflows using Azure Data Factory for reliable data ingestion and transformation.
• Ensure secure, fault-tolerant data movement from source to target systems.
• Build complex transformation logic using Azure Databricks (Spark with Python/Scala).
• Load and manage large structured and unstructured datasets in Azure Synapse.

Skills

ETL development

SQL proficiency

Data governance

Security/compliance

Mentoring

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Purview

Power BI

Spark (Python/Scala)

Job description

Machine Learning Technologies, LLC seeks a senior ETL/Data Engineer to design, build, and optimize data pipelines across multiple sources. You will develop automated workflows with Azure Data Factory and ensure secure, fault-tolerant data movement to analytics platforms.

You will transform data using Azure Databricks and Azure Synapse, implement data quality checks, and support Power BI reporting. Strong SQL, Spark, Python/Scala, and RBAC are essential.