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.
Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.
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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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
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