Senior Consultant_ Data Engineer

As an Azure & Microsoft Fabric Lead Developer, you will lead the design and development of enterprise-grade data pipelines, lakehouses, and analytics solutions using Azure Data Services and Microsoft Fabric for client program. You will be responsible for building scalable ingestion, transformation, governance, and reporting layers aligned to client standards, workforce analytics requirements, and Trust-level data governance. You will collaborate closely with architects, SMEs, BI developers, data engineers, platform teams, and external partners (Microsoft) to ensure high-quality delivery of modern analytics platforms.
Required

Strong hands-on expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL, Synapse
Proven experience designing and developing solutions using Microsoft Fabric:

Lakehouse
Data Pipelines
Dataflows Gen2
Warehouse (SQL Endpoint)
OneLake governance

Ability to translate business requirements into technical architecture and detailed design
Expertise in building scalable ingestion frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines
Strong programming skills in PySpark, SQL, Python
Experience implementing medallion architecture, delta lakes, and metadata-driven pipelines
Hands-on experience with DQ frameworks, validation rules and reconciliation logic
Ability to integrate Azure/Fabric datasets with Power BI semantic models and dashboards
Experience building reusable datasets for Client domains such as HR, Payroll, Workforce, Clinical, or Operational reporting
Experience with CI/CD using Azure DevOps (Repos, Pipelines, Release Management)
Ability to work with data architects, platform teams and product owners to deliver high-quality designs

Preferred

Experience delivering technology programs within healthcare organizations in Data
Experience delivering analytics in Microsoft Fabric for enterprise-scale healthcare clients
Experience with Fabric Admin Center, OneSecurity model, Capacity planning