Advisory - Data Services Senior Consultant - Data Engineering

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The Role

The Senior Consultant, Data Services (Data Engineering Focus) is a critical, client-facing role that supports the design, development, testing, and delivery of sophisticated data integration, modeling, and analytics solutions for Nordic clients. Operating at the intersection of technology, strategy, and healthcare operations, this position plays a key role in advancing data-driven transformation within complex healthcare environments.

As a senior member of the Data Services team, this individual serves as both a technical expert and trusted advisor, translating business needs into actionable insights, aligning analytics capabilities with client goals, and delivering high-impact solutions that drive measurable outcomes. In addition to hands-on solution development, the Senior Consultant provides strategic guidance, mentorship to junior team members, and thought leadership across Nordic’s analytics initiatives.

This role is a direct extension of Nordic’s commitment to excellence and innovation in healthcare. Senior Consultants are expected to embody Nordic’s core values, build trusted relationships with clients and colleagues, and consistently demonstrate professionalism, and integrity. As a visible representative of Nordic, this role can shape client success, influence enterprise analytics strategies, and contribute to the continued growth and leadership of Nordic in the healthcare data and analytics space.

The ideal candidate is a highly motivated, technically skilled, and client-centered professional with deep experience in healthcare data ecosystems, modern cloud data platforms, and enterprise data engineering. This role requires expertise in Azure Data Factory, Databricks, and end-to-end data pipeline development, combined with a passion for solving complex problems and the ability to lead and collaborate across multi-disciplinary teams. This role focuses on high-impact projects that improve business processes, enhance clinical operations, and elevate the strategic use of data across healthcare organizations.

Key Responsibilities

As a strategic contributor and visible representative of Nordic’s Data & Analytics practice, the Senior Consultant, Data Services will assume a variety of responsibilities, including but not limited to:

Client Delivery & Strategic Leadership

• Serve as a trusted advisor to healthcare clients, translating complex business questions into impactful data and analytics solutions
• Support end-to-end delivery of analytics projects, gathering requirements, architecting solutions, and overseeing development, testing, deployment, and adoption
• Collaborate directly with client stakeholders across clinical, operational, and executive teams to align analytics efforts with strategic priorities
• Proactively identify opportunities to enhance analytics maturity, optimize processes, and increase the business value of data assets
• Represent Nordic with professionalism and integrity in all client engagements, ensuring exceptional service, strategic insight, and consistent alignment with Nordic's values
• Guide project teams and support solution governance by providing input into architecture, data modeling, data pipelines, and reporting design decisions

Data Integration and ETL/ELT

• Design and architect scalable and reliable data pipelines to ingest, process, and transform large volumes of healthcare data from diverse sources, including electronic health records (EHR), clinical systems, research databases, and external data feeds
• Build production-grade data integration solutions using Azure Data Factory to orchestrate data workflows, manage data movement, and coordinate pipeline executions across complex healthcare data environments
• Develop end-to-end data pipelines that leverage ADF for orchestration and Databricks for scalable data processing and transformation
• Implement medallion architecture patterns (bronze/silver/gold layers) within Databricks lakehouse environments to support progressive data refinement and analytics readiness
• Build and maintain data warehousing and lakehouse architectures that support enterprise analytics and reporting requirements

Technical Execution & Innovation

• Design and build robust, scalable data models, data engineering solutions and products on platforms such as Databricks, Azure Data Factory and MS SSIS
• Develop advanced SQL queries, optimize data processing logic, and validate outputs across large, complex healthcare data environments (EHR, claims, operational systems, etc.)
• Contribute to performance testing, documentation, upgrades, and validation strategies across multiple