Job DescriptionYour 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.
ResponsibilitiesYour 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
QualificationsYour 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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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.
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