Artificial Intelligence (AI), Atlassian JIRA, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Mart, Data Modeling, Data Warehousing, Emerging Technology, Enterprise Architecture, Federal Laws and Regulations, Git, Healthcare, Information/Data Security (InfoSec), Leadership, Machine Tool, Master Data Management (MDM), NoSQL, Portfolio Analysis, Privacy Controls, Product Design, Product Development, Snowflake Schema, Source Code/Configuration Management (SCM), State Laws and Regulations, Technical/Engineering Design, Virtualization
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,Principal
will report to the Sr Manager, Data Solutions / Director. In this role you will be partnering with Enterprise Architects, Portfolio, Analytics and Data engineering teams for designing technical solutions and building data products to meet enterprise data needs. You will be responsible for driving the data product by designing and implementing cloud data lakes, data warehouse and data mart solutions.
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 at least 15+ years of relevant experience.
- Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
- Demonstrated enthusiasm for AI and emerging technologies, with solid understanding of AI/ML concepts and handson experience applying AI-driven solutions in enterprise environments.
- Hands on experience with SQL, Python, DBT Cloud and DBT core. Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks)
- Proven ability to design and scale largevolume, highperformance data platforms leveraging parallel and distributed architectures.
- Advanced knowledge of CI/CD, source control, and agile delivery tooling (e.g., Git, Bitbucket, Jira).
- Strong communication skills with the ability to translate complex technical concepts to nontechnical stakeholders.
- Demonstrated ability to influence technical direction, set engineering standards, and drive operational excellence across teams.
- Experience in healthcare, regulated environments, or large enterprises is strongly preferred.
- Requires a bachelor's degree or equivalent experience.
- Requires at least 15+ years of relevant experience.
- Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
- Demonstrated enthusiasm for AI and emerging technologies, with solid understanding of AI/ML concepts and handson experience applying AI-driven solutions in enterprise environments.
- Hands on experience with SQL, Python, DBT Cloud and DBT core. Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks)
- Proven ability to design and scale largevolume, highperformance data platforms leveraging parallel and distributed architectures.
- Advanced knowledge of CI/CD, source control, and agile delivery tooling (e.g., Git, Bitbucket, Jira).
- Strong communication skills with the ability to translate complex technical concepts to nontechnical stakeholders.
- Demonstrated ability to influence technical direction, set engineering standards, and drive operational excellence across teams.
- Experience in healthcare, regulated environments, or large enterprises is strongly preferred.
Hybrid
This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.
Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.