Senior Azure Data Engineer

Brandon Consulting Associates, Inc.

Job Location:

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Our Client is looking for a Data Engineer specializing in Azure and Databricks. You will architect and build secure scalable data pipelines and a cloud-native data platform that powers real-time compliance analytics and regulatory reporting across global markets. Work collaboratively as a team player on mission-critical projects involving complex financial datasets leveraging Azure Data Factory Databricks Delta Lake and Python to transform raw data into trusted governed insights. This is a high-impact role where a motivated self-starter owns end-to-end data engineering initiatives collaborates with governance teams and influence the architecture of our client s next-generation compliance systems.

PRINCIPAL DUTIES & RESPONSIBILITIES:

Own the design and implementation of ETL workflows using Azure Data Factory and Databricks for compliance-related data ingestion and transformation.
Integrate and normalize data from multiple structured and unstructured sources ensuring adherence to strict data quality governance framework.
Develop secure auditable and optimized pipelines for performance and reliability across sensitive financial datasets.
Automate ingestion and transformation processes enable real-time compliance analytics and reporting.
Implement efficient storage formats and partitioning strategies for fast loading and retrieval.
Utilize Databricks and Delta Lake for distributed processing and versioned data storage.
Enforce data retention archiving and purging policies aligned with global regulatory requirements.
Migrate legacy application logic into modern Azure Databricks/Data Lake and SQL environments.
Maintain comprehensive data lineage metadata and audit trails using Azure Purview or custom frameworks.
Collaborate with governance teams and compliance analysts to define requirements and manage access controls.
Participate in Agile development cycles sprint planning and compliance reviews.
Review code changes and support production deployments.

JOB SPECIFICATIONS:

10 years of experience in data engineering and over 5 years of financial services preferably compliance/regulatory.
Advanced proficiency in SQL Python and Azure Databricks.
Hands-on experience with Azure Data Factory Databricks notebooks and ADLS.
Expertise in data wrangling modeling and analytics enablement for compliance use cases.
Experience integrating Microsoft ADF and Databricks for complex ETL development.
Familiarity with data governance quality frameworks and audit processes.
Strong communication and collaboration skills.
Experience with Git/GitLab and CI/CD tools such as Azure DevOps.
Preferred: Certifications in Azure Data Engineering Databricks or Financial Compliance Technology.

Preferred: Bachelor s or Master s in Computer Science Data Engineering or related field

Skill	Your Experience in Years
Azure Data Engineering (ADF ADLS Databricks)
Distributed Processing with Databricks Delta Lake & Python
Data Governance Quality Lineage & Regulatory Controls
Advanced SQL & Data Modeling for Compliance/Financial Data
End-to-End Pipeline Ownership & DevOps (CI/CD Git Azure DevOps)
Financial Services/Regulatory Compliance

Brandon Consulting Associates Inc. is an EQUAL OPPORTUNITY EMPLOYER and has been in business for 29years.

PRINCIPAL DUTIES & RESPONSIBILITIES:

Own the design and implementation of ETL workflows using Azure Data Factory and Databricks for compliance-related data ingestion and transformation.
Integrate and normalize data from multiple structured and unstructured sources ensuring adherence to strict data quality governance framework.
Develop secure auditable and optimized pipelines for performance and reliability across sensitive financial datasets.
Automate ingestion and transformation processes enable real-time compliance analytics and reporting.
Implement efficient storage formats and partitioning strategies for fast loading and retrieval.
Utilize Databricks and Delta Lake for distributed processing and versioned data storage.
Enforce data retention archiving and purging policies aligned with global regulatory requirements.
Migrate legacy application logic into modern Azure Databricks/Data Lake and SQL environments.
Maintain comprehensive data lineage metadata and audit trails using Azure Purview or custom frameworks.
Collaborate with governance teams and compliance analysts to define requirements and manage access controls.
Participate in Agile development cycles sprint planning and compliance reviews.
Review code changes and support production deployments.

JOB SPECIFICATIONS:

10 years of experience in data engineering and over 5 years of financial services preferably compliance/regulatory.
Advanced proficiency in SQL Python and Azure Databricks.
Hands-on experience with Azure Data Factory Databricks notebooks and ADLS.
Expertise in data wrangling modeling and analytics enablement for compliance use cases.
Experience integrating Microsoft ADF and Databricks for complex ETL development.
Familiarity with data governance quality frameworks and audit processes.
Strong communication and collaboration skills.
Experience with Git/GitLab and CI/CD tools such as Azure DevOps.
Preferred: Certifications in Azure Data Engineering Databricks or Financial Compliance Technology.

Preferred: Bachelor s or Master s in Computer Science Data Engineering or related field

Skill	Your Experience in Years
Azure Data Engineering (ADF ADLS Databricks)
Distributed Processing with Databricks Delta Lake & Python
Data Governance Quality Lineage & Regulatory Controls
Advanced SQL & Data Modeling for Compliance/Financial Data
End-to-End Pipeline Ownership & DevOps (CI/CD Git Azure DevOps)
Financial Services/Regulatory Compliance