Healthcare Data Architect

At Elara Caring, we have a unique opportunity to play a huge role in the growth of an entire home care industry. Here, each employee has the chance to make a real difference by carrying out our mission every day. Join our elite team of healthcare professionals, providing the Right Care, at the Right Time, in the Right Place.Job DescriptionAt Elara Caring, we care where you are and believe the best place for your care is where you live. We know there’s no place like home, and that’s why our teams continue to provide high-quality care to more than 60,000 patients each day in their preferred home setting. Wherever our patients call home and wherever they are on their journey of health, we care. Each team member has a part to play in this mission. This means you have countless ways to make a difference as a Healthcare Data Architect. Being a part of something this great starts by carrying out our mission every day through your true calling: developing an amazing team of compassionate and dedicated healthcare providers.To continue to be an industry pioneer in delivering unparalleled care, we need a Healthcare Data Architect with commitment and compassion. Are you one of them? If so, apply today!Why Join the Elara Caring mission?Work in a collaborative environment.Be rewarded with a unique opportunity to make a differenceCompetitive compensation packageTuition reimbursement for full-time staff and continuing education opportunities for all employees at no costOpportunities for advancementComprehensive insurance plans for medical, dental, and vision benefits401(K) with employer matchPaid time off, paid holidays, family, and pet bereavementPet insuranceAs a Healthcare Data Architect you’ll contribute to our success in the following ways:Own and drive the enterprise data strategy, ensuring alignment with organizational, digital, and AI transformation prioritiesDefine and lead the enterprise data architecture strategy to support scalable, secure, and high-performing data ecosystemsEstablish, implement, and enforce enterprise data architecture standards, governance frameworks, and best practices.Partner with executive leadership to influence, prioritize, and deliver enterprise data and analytics initiativesLead cross-functional collaboration between business, clinical, operational, and technology teams to ensure alignment on data prioritiesOversee the evaluation, selection, and optimization of enterprise data platforms, tools, and technologiesDrive enterprise data governance, data quality, metadata management, and stewardship programs across the organizationDesign and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflowsKnowledge of AI/ML frameworks and healthcare AI use cases, including how data architecture supports model development and deploymentProficiency with real-time streaming technologies such as Apache KafkaUnderstanding of Lakehouse architectures and cloud data platforms such as SnowflakeKnowledge of cloud-based data ecosystems that enable scalable analytics and system integrationAbility to design data models and curated datasets that support self-service analytics and data science teamsKnowledge of healthcare analytics, including population health and value-based care conceptsUnderstanding of clinical terminologies and standards such as ICD-10, SNOMED, and LOINCKnowledge of interoperability standards such as HL7 and FHIR for integrating healthcare data across systemsFamiliarity with EMR/EHR platforms such as Epic and CernerProficiency with business intelligence and analytics tools such as Microsoft Power BI and TableauFamiliarity with IT service management and workflow platforms such as ServiceNowAbility to design scalable, high-performance reporting and dashboarding solutions across clinical and operational domainsUnderstanding of data integration across clinical, operational, and enterprise systems within secure and governed environmentsStrong knowledge of data quality, governance, and regulatory compliance in healthcare settingsAbility to develop and maintain consistent, trusted datasets that enable faster time-to-insight and support AI innovationWhat is Required?Bachelor’s or Master’s degree in Computer Science, Health Informatics, Information Systems, or related field 10–15 years in data engineering, data architecture, or enterprise data management 10+ years minimum in healthcare or health IT environments 3–5 years in a Data Architect or Lead Architecture role Strong experience in healthcare data environments, including EMR/EHR systems and Epic and CernerProven experience enabling analytics and AI use cases through well-designed data architecture Expertise in data modeling (dimensional, canonical, and semantic models) Experience supporting BI tools such as Microsoft Power BI and Tableau Experience defining and executing enterprise-wide data strategy and governance frameworksDemonstrated ownership of enterprise data strategy, including roadmap development and execution aligned to business and AI prioritiesProven ability to influence executive stakeholders and drive cross-functional alignment across business and technology teamsExperience partnering with senior leadership to translate business objectives into scalable data architecture and platform solutionsHands-on experience with healthcare interoperability standards (HL7, FHIR, CCD, DICOM) Experience integrating enterprise platforms such as ServiceNow Proficiency with SQL, ETL/ELT tools, and modern cloud data platforms Preferred Certifications: Certified Data Management Professional (CDMP) – DAMA International TOGAF Certification – The Open Group AWS Certified Solutions Architect (Associate or Professional) Microsoft Certified: Azure Data Engineer Associate Google Professional Data Engineer Certified Professional in Healthcare Information and Management Systems (CPHIMS) – HIMSS HL7 Certification – HL7 International Snowflake SnowPro Certification Optional: Power BI or Tableau certifications SkillsDesign and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflowsKnowledge of AI/ML frameworks and healthcare AI use cases, including how data architecture enables model development and deploymentProficiency with real-time streaming data technologies such as Apache KafkaUnderstanding of Lakehouse architectures and cloud data platforms such as SnowflakeKnowledge of cloud-based data ecosystems that support scalable analytics and system integrationAbility to design data models and curated datasets that enable self-service analytics and data science consumptionKnowledge of healthcare analytics domains, including population health and value-based care initiativesUnderstanding of clinical terminologies and standards such as ICD-10, SNOMED, and LOINCKnowledge of healthcare interoperability standards including HL7 and FHIR for cross-system data integrationProficiency with business intelligence and analytics tools such as Microsoft Power BI and TableauAbility to design scalable, high-performance reporting and dashboarding solutions across clinical and operational domainsUnderstanding of data integration across clinical, operational, and enterprise systems within governed and secure environmentsStrong knowledge of data quality, data governance, and healthcare regulatory compliance requirementsAbility to establish and maintain consistent, trusted datasets that enable accelerated time-to-insight and AI innovationYou will report to the Chief Information Officer.Equal Employment Opportunity: We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruiting@elara.com. Pay & Benefit Information: Compensation for this role will be determined based on a variety of factors, including qualifications, skills, competencies, and relevant experience. Elara offers a broad range of benefits. Learn more at https://careers.elara.com/us/en/benefitsEVerify: Elara Caring participates in E-Verify after a job offer is accepted and Form I-9 completed.