Advisory - Data Services Senior Consultant - Data Engineering

Nordic Healthcare Group (NHG)

6d•Remote

About The Position

Make a difference. Be happy. Grow your career. 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.

Requirements

Generally, requires a bachelor’s degree and 8 years of relevant experience, a master’s degree and 6 years of relevant experience, or 11 years of related experience and no degree
Bachelor’s degree in data science, healthcare administration, information systems, or related field; advanced degree preferred
Minimum 8+ years of experience in healthcare analytics, data engineering, or business intelligence, with demonstrated success in client-facing or consulting roles
Minimum 4+ years of experience specifically in data engineering within healthcare environments using ADF/Databricks
Advanced Proficiency with SQL and experience with large-scale data sets; Python or R for data engineering
Proficiency in designing and building data integration pipelines, orchestrating workflows, managing data movement activities, and implementing scheduling and monitoring frameworks
Experience with Git, Azure DevOps, and CI/CD practices for data pipeline deployment
Strong experience designing, developing, and maintaining enterprise-grade data pipelines, ETL workloads, and analytics frameworks
Experience with source control (Git, Azure DevOps) and CI/CD practices for data pipelines
Strong documentation skills for technical specifications and data lineage
Ability to lead client discussions, manage stakeholder expectations, and communicate technical concepts to non-technical audiences
Demonstrated ability to mentor junior staff, lead technical workstreams, and contribute to strategic solution design
Excellent written and verbal communication skills with the ability to influence decision-making
High attention to detail, accountability for deliverables, and a proactive approach to problem-solving and continuous improvement
Experience working across multiple Epic clinical or operational domains

Nice To Haves

Certification in at least one of the following tools is preferred: Databricks, Azure Data Factory with relevant experience in all tools preferred
Epic certification in one or more modules (e.g., Clarity or Caboodle) and experience working with Epic Clarity and Caboodle data models
Experience with SQL Server Integration Services (SSIS) package development, debugging, and migration
Exposure to modern data architectures and cloud-based analytics platforms (e.g., Azure, Snowflake, Databricks)
Experience applying Agile methodologies to analytics project delivery
Background in data science, machine learning, or advanced analytics techniques is a plus

Responsibilities

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 client systems and environments
Demonstrate commitment to continuous learning and stay current with industry trends, best practices, and emerging technologies in data engineering
Team Collaboration and Internal Growth Mentor and support junior team members, fostering a culture of knowledge sharing, learning, and professional growth
Assist leadership in project estimation, resource planning, and task coordination to ensure smooth delivery execution
Contribute to the development of reusable tools, solution accelerators, and best practice documentation that improve team efficiency and delivery consistency
Support Nordic’s internal strategic initiatives, participate in team training sessions, and help evolve the Data Services practice through process improvement and thought leadership
Model Nordic’s core maxims and values by promoting collaboration, excellence, and customer-first thinking across teams and engagements