Job Description

Your Role

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Consultant will report to the Sr Manager, Data Solutions / Manager. This role serves as a senior individual contributor and technical leader, responsible for driving end-to-end delivery of complex data engineering solutions across cloud data platforms. The DE-C partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, and production-ready data products.

Responsibilities

Your Work

In this role, you will:

• Lead the design and implementation of complex, data pipelines and data products from development through production
• Translate solution designs and business requirements into detailed technical architecture and implementation plans
• Architect and build scalable, secure, and highly available data solutions across enterprise data platforms
• Apply advanced data modeling techniques (Data Vault 2.0, dimensional, and domain-oriented models) to support analytics and reporting needs
• Embed data quality, testing, security, and observability by design across data pipelines
• Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization
• Identify and implement optimization opportunities related to performance, reliability, and cloud cost management
• Influence and evolve data engineering standards, patterns, and frameworks used by delivery teams
• Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews
• Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners
• Support integration of AI/ML-ready datasets by ensuring data is well-modeled, reliable, and governed
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Qualifications

Your Knowledge and Experience

• Requires a bachelor's degree or equivalent experience.
• Requires a minimum of 7 years of data engineering experience.
• Advanced hands-on expertise in SQL, including automation and pipeline optimization
• Strong experience with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory
• Extensive experience with modern data platforms including Snowflake, Databricks, and orchestration tools such as Airflow or Tidal
• Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing
• Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices
• Strong understanding of security, privacy, and compliance requirements in regulated environments
• Experience working with largescale, distributed data platforms and parallel processing architecture
• Excellent communication and stakeholder engagement skills
• Proven ability to lead technically without formal people management responsibility
• Preferred: Healthcare industry experience, including exposure to Epic or similar ecosystems

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Our Workplace Model:

We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:

• For most teams, this means coming into the office two days per week.
• Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
• For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.

The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.

Physical Requirements:

Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.

Please click here for further physical requirement detail.