Healthcare Without Rival

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care – in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. 

Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations. 

Premise offers a wide range of dynamic, purpose-driven career opportunities. We are currently looking for aLead Data Solutions Architect to join our team working remotely.

About the role: The Lead Data Solutions Architect will lead designing and optimizing of the data ecosystem at Premise Health. This will include source data discovery, data modeling, data pipelines, data lakes, data analysis, data visualization and others. The Architect will work closely with leadership and is responsible for defining and refining the overall solution to support the organization’s strategy and objectives. The Architect will collaborate with internal clients, stakeholders, and technical teams to design and implement scalable, flexible, and efficient solutions.

Essential Functions:  

Leads as a strategic Data Domain Architect, adept at assessing overarching problem statements and aligning solutions with business needs.Supports the desired outcomes of problem statements, develop comprehensive scope and requirements, devise detailed strategies, and guide teams towards successful outcomes.Develops and executes the architecture visions, roadmaps, and principles that align with organizational strategy and governance, collaborating closely with Enterprise Architecture, Security Architecture, and Data Architecture teams as necessary.Collaborates closely with the Leadership to craft and evolve roadmaps that drive efficiency and effectiveness.Fosters effective cross-functional collaboration, engaging subject matter experts (SMEs) appropriately to contribute to solution development.Partner with other Engineering and Platform teams to architect and rapidly iterate on designs, patterns, or changes required to resolve issues and modernize the organization and its technology processes.Leverages expertise and industry best practices in Data Architecture, Governance, and Implementations to deliver substantial business value, particularly within the context of a data architecture program.Continues to review/refine solution throughout the implementation and support updates to roadmapActs as the subject matter expert on solution and supporting both technical and non-technical stakeholdersDefines technical capabilities required to realize business capabilities across multiple business domains, defines architecture for those technical capabilities, and a road map for implementation.Champion data security principles and ensure appropriate security practices are embedded in any data/analytics strategy or effort.Identifies new technologies, based on gaps in required data related capabilities.Creates and maintains extensive documentation for all aspects of the data ecosystem, including data architecture frameworks, standards, principles, etc.Advise and mentor engineers and technologists on Data Architecture and Data Science practices, fostering a culture of continuous learning and development.Build upon our established environment, refining and optimizing the existing architecture to ensure scalability, performance, and cost effectiveness.Assess the current data platform and implement best practices to improve data processing performance and ensure efficient use of resources.Other duties as assigned.

Job Requirements: 

Bachelor’s in engineering, computer science, data science, or other related field preferred or equivalent work experience.8 years of experience in architecture/design in relevant technology disciplines; or any combination of education and experience, which would provide an equivalent background.15 years of experience in information technologies and 6 years of experience in healthcare industry preferred.

Preferred Experience: 

Expertise in leading data technologies such as Azure Data Lake house, Synapse, Data Mesh, Azure Cloud Factory, Databricks & Azure Service Fabric Expertise in Data warehouse, Dimensional Modeling & Master Data Management ArchitecturesExpertise in at least one architectural framework, such as TOGAF, OOAD, Zackman, FEAF, or othersDetailed understanding of a wide variety of IT Solutions and associated industry best practices.Knowledge of data integration tools (ETL, ELT)Comfortable operating in waterfall and iterative development lifecyclesUnderstanding of business processes and data requirementsAbility to translate business needs into technical solutionsProficient in establish a rapport and trust with IT teams, senior leaders and business partnersStrong written and communication skills with the ability to communicate to all levels of staff both internal and external to the organizationCreative, out-of-the-box thinker who is willing to take innovative risks while balancing the road map for on-time deliverablesDemonstrated ability to fully support multiple diverse, simultaneous projects of various complexities with overlapping deadlinesExpertise with enterprise relational DBMS (Oracle, Postgres, MS SQL, etc.) and non-relational DBMS (GraphDB, Cassandra , MongoDB, etc.)Expertise in enterprise software development, including detailed understanding of modern CI/CD pipelines and the associated toolsExpertise in one or more related programming languages, such as Python, R, and Java, as well as SQLKnowledge of various Data Architecture patterns including ODS, Data Lake, Data Warehousing, OLTP, Data Vault and OLAPHighly knowledgeable about relevant Data Management & Governance topics including: Data Glossaries, Taxonomy management, Data Cataloguing, Data Lineage, Data Quality or Automated Data Discovery – demonstrable practical experience in as many as possibleStrong knowledge of data security, privacy, and compliance standards (HIPAA, GDPR, etc.)Familiarity with AI technologies and best practices

Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers benefits packages including medical, dental, vision, life insurance, 401(k), paid holidays and vacation time, a company-sponsored wellness program, and much more our talent acquisition team will be happy to share with you. 

Premise Health is an equal opportunity employer; we value inclusion, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

For individuals living in California, Colorado, Illinois, Washington; as well as, for individuals living in or reporting to New York State only, Premise Health is required to include an estimate of the salary and benefits for this role. While a number of factors influence salary, our estimated California, Colorado, Washington and New York State compensation is $100,000 - $190,000. Please note, this is a general guideline and your experience qualifications, geographic location, and other factors will be taken into consideration. For more information regarding the benefits we offer, please visit our career site, jobs.premisehealth.com/benefits.