Data Architect (Remote)

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Posted 13 days ago United States Salary undisclosed
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Job Description

Do you want to work for a company that has been recognized by the Denver Post for nearly a decade as a Top Place to Work? Then Physician Health Partners may be the company for you! PHP offers a robust benefit package where the company pays 90%+ for medical premiums, vision insurance, dental insurance, 2 week paid FMLA, 401(k) matching, in addition to some perks like happy hours, remote work options and profit sharing! We have two locations in Downtown Denver and Colorado Springs but serve members throughout the state Colorado. If you are interested in working for an innovative and collaborative workplace in the healthcare market than PHP may be the career home for you.

Position Summary: Responsible for planning activities that define the information needs of Physician Health Partners (PHP) and designs the data to meet those needs with the enterprise architecture and integration with information systems, information technologies, and cloud solutions. The objective is to plan with vision and foresight to provide high-quality data; to identify and define common information requirements; and to design conceptual structures and plans to meet the long-term data requirements of PHP.

Remote work is limited to candidates who live in (or are willing to relocate to) the following states: Colorado, Florida, Georgia, Indiana, or Texas

COMPETENCIES/Role-Specific Functions:


Communicates well both verbally and in writing, creates accurate and punctual reports, delivers presentations, shares information and ideas with others, has good listening skills.

  • Understand the information needs of the enterprise with emphasis on executive information consumption and data that comes from or is provided by external parties to the enterprise
  • Educate upward and outward about the business value of enterprise data architecture and solid data management
  • Collaborate with Healthcare Provider business and data SMEs to profile, analyze, and model data, including creating logical mapping of source data into target data models, based on the existing business process and data/reporting requirements


Breaks down problems into smaller components, understands underlying issues, can simplify and process complex issues, understands the difference between critical details and unimportant facts.

  • Demonstrated analytic decision-making, problem-solving skills
  • Create conceptual and logical data models, typically aggregate data marts for presentation of data to the analytics or data services layer
  • Leverage cloudbased solutions to enhance toolset
  • Rely on extensive experience and judgment to plan and accomplish goals and resolve complex technical issues. A strong ability to analyze interconnected systems and data structures is required. This position has a high need to develop strong relationship with team and vendors and to remain positive and professional
  • Drive data analysis and modeling efforts (conceptual, logical, and physical models), either as the lead modeler, sole modeler, or as member of a team of data modelers/architects, as appropriate given the specific project situation and team makeup


Manages a fair workload, volunteers for additional work, prioritizes tasks, develops good work procedures, manages time well, handles information flow.
  • Develop and maintain an integrated, subject-oriented, conceptual enterprise data model that represents essential data produced and consumed across the enterprise
  • Identify gaps in Data Architecture Management practices and orchestrate eliminating those gaps
  • Define and publish data management standards
  • Experience translating user needs into successful processes and system design


Seeks out and accepts feedback, is a proactive learner, takes on tough assignments to improve skills, keeps knowledge and skills up to date, turns mistakes into learning opportunities.

  • Stay abreast of data management industry trends and healthcare data models and nomenclatures HL7, FHIR and champion their potential to improve enterprise data management


Builds customer confidence, is committed to increasing customer satisfaction, sets achievable customer expectations, assumes responsibility for solving customer problems, ensures commitments to customers are met, solicits opinions and ideas from customers, responds to customers.

  • Demonstrated interpersonal, presentation and leadership skills
  • Demonstrated ability to work effectively with users at diverse organization levels and a variety of skill levels
  • Demonstrated ability to work effectively on an autonomous or team basis
  • Work with business teams to gather requirements for data structures and analytic models
  • Understand priorities of business, analytics, and reporting teams to inform the scope and cadence of work implemented by Business Intelligence development staff
  • Continuous check ins with product owners during design and implementation for acceptance of the end product, data quality and accuracy
  • Attend other departmental meetings/sprint planning for constant feedback and to maintain velocity


Understands duties and responsibilities, has necessary job knowledge, has necessary technical skills, understands company mission/values, keeps job knowledge current, is in command of critical issues.

  • Experience with virtualized environments
  • Experience with public or private cloud environments
  • Experience designing functional and integrated test plans
  • Strong understanding of data models, data warehouse, data structures for reporting

Qualifications (Education/Experience/Knowledge/Skills/Abilities):

  • Degree in Computer Science or related area
  • Prior experience working as a data analyst and modeler in a data warehouse, data lake, or datamart environment, and working with healthcare data; 5+ years experience
  • Dimensional data modeling, HL7, FHIR, HIT, strong SQL query language skills, mapping skills, performing data discovery, analysis and profiling required.
  • Experience creating logical source-to-target mappings which can be used by data integration engineers to develop batch and services based data pipelines to populate an enterprise data warehouse, data lake, or otherwise
  • Experience with MS Azure Synapse, Snowflake, etc. is preferred
  • Experience with PowerBI is preferred
  • Business and technical requirements elicitation, analysis and elaboration is preferred
  • Experience with code-based (C#) ETL/ELT processes is preferred

COVID 19: Employees will be required to show proof of being fully vaccinated to COVID-19 within 30 days of hire or be subject to frequent antigen testing. Reasonable accommodations may be considered on a case by case basis.