The candidate must work onsite and will be subject to a Police Background Investigation. Hybrid work will be available after 3 months of exceptional performance determined by the manager (3 days onsite, 2 days remote). The primary work location will be at Jamaica station however visits to other MTA facilities in Manhattan will be required.

Position Summary -
We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills. They are required to have experience modernizing legacy Microsoft BI environments (including SSIS). This is not an SSIS-only role.

The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations.

This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions.

The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems. This requires architectural thinking and hands-on technical execution.

Core Responsibilities
Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards.
Design and implement modern ETL/ELT pipelines in Azure
Assess and refactor existing SSIS packages as part of broader modernization efforts
Architect Lakehouse / Medallion data models
Develop optimized dimensional data models (star schema)
Integrate data from SQL Server, Oracle, APIs, and security platforms
Design and deploy enterprise Power BI dashboards
Build paginated reports using Power BI Report Builder
Optimize DAX and dataset performance
Implement Row-Level Security (RLS)
Support CI/CD and DevOps deployment processes
Produce technical documentation and data lineage artifacts
Engage directly with executive stakeholders


Required Technical Skills (Must-Have)
Data Engineering & Architecture
Strong ETL/ELT design and optimization experience
Advanced SQL (expert-level required)
Python / PySpark
Dimensional data modeling (star schema required)
REST API integrations

Azure Data Stack
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage

Microsoft Data Platform
Experience with SQL Server data warehouse environments
Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions

Power BI
Power BI Desktop (expert-level)
Advanced DAX
Executive dashboard development
Paginated reports (Power BI Report Builder)
Data Gateway configuration
Incremental refresh
Row-Level Security (RLS)


Nice to Have
Microsoft Purview
Terraform (Infrastructure-as-Code)
Orchestration tools (Airflow or equivalent)
Security systems data integration experience
Experience with C# / .NET web application development (for integration with internal systems or APIs)

Experience Requirements
7+ years of hands-on data engineering / analytics delivery
Demonstrated experience building production data pipelines in Azure
Proven experience delivering executive-facing Power BI solutions
Experience working in complex enterprise environments