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 Description:

At 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 difference

• Competitive compensation package

• Tuition reimbursement for full-time staff and continuing education opportunities for all employees at no cost

• Opportunities for advancement

• Comprehensive insurance plans for medical, dental, and vision benefits

• 401(K) with employer match

• Paid time off, paid holidays, family, and pet bereavement

• Pet insurance

As 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 priorities

• Define and lead the enterprise data architecture strategy to support scalable, secure, and high-performing data ecosystems

• Establish, 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 initiatives

• Lead cross-functional collaboration between business, clinical, operational, and technology teams to ensure alignment on data priorities

• Oversee the evaluation, selection, and optimization of enterprise data platforms, tools, and technologies

• Drive enterprise data governance, data quality, metadata management, and stewardship programs across the organization

• Design and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflows

• Knowledge of AI/ML frameworks and healthcare AI use cases, including how data architecture supports model development and deployment

• Proficiency with real-time streaming technologies such as Apache Kafka

• Understanding of Lakehouse architectures and cloud data platforms such as Snowflake

• Knowledge of cloud-based data ecosystems that enable scalable analytics and system integration

• Ability to design data models and curated datasets that support self-service analytics and data science teams

• Knowledge of healthcare analytics, including population health and value-based care concepts

• Understanding of clinical terminologies and standards such as ICD-10, SNOMED, and LOINC

• Knowledge of interoperability standards such as HL7 and FHIR for integrating healthcare data across systems

• Familiarity with EMR/EHR platforms such as Epic and Cerner

• Proficiency with business intelligence and analytics tools such as Microsoft Power BI and Tableau

• Familiarity with IT service management and workflow platforms such as ServiceNow

• Ability to design scalable, high-performance reporting and dashboarding solutions across clinical and operational domains

• Understanding of data integration across clinical, operational, and enterprise systems within secure and governed environments

• Strong knowledge of data quality, governance, and regulatory compliance in healthcare settings

• Ability to develop and maintain consistent, trusted datasets that enable faster time-to-insight and support AI innovation

What 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 Cerner

• Proven 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 frameworks

• Demonstrated ownership of enterprise data strategy, including roadmap development and execution aligned to business and AI priorities

• Proven ability to influence executive stakeholders and drive cross-functional alignment across business and technology teams

• Experience partnering with senior leadership to translate business objectives into scalable data architecture and platform solutions

• Hands-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

Skills:

• Design and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflows

• Knowledge of AI/ML frameworks and healthcare AI use cases, including how data architecture enables model development and deployment

• Proficiency with real-time streaming data technologies such as Apache Kafka

• Understanding of Lakehouse architectures and cloud data platforms such as Snowflake

• Knowledge of cloud-based data ecosystems that support scalable analytics and system integration

• Ability to design data models and curated datasets that enable self-service analytics and data science consumption

• Knowledge of healthcare analytics domains, including population health and value-based care initiatives

• Understanding of clinical terminologies and standards such as ICD-10, SNOMED, and LOINC

• Knowledge of healthcare interoperability standards including HL7 and FHIR for cross-system data integration

• Proficiency with business intelligence and analytics tools such as Microsoft Power BI and Tableau

• Ability to design scalable, high-performance reporting and dashboarding solutions across clinical and operational domains

• Understanding of data integration across clinical, operational, and enterprise systems within governed and secure environments

• Strong knowledge of data quality, data governance, and healthcare regulatory compliance requirements

• Ability to establish and maintain consistent, trusted datasets that enable accelerated time-to-insight and AI innovation

You will report to the Chief Information Officer.

The base salary for this position is $185,000-$230,000 annually based on the company’s good faith estimate at the time of posting. Actual pay will be determined based on factors such as education, experience, skills, and internal equity.

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 View email address on click.appcast.io.

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

EVerify : Elara Caring participates in E-Verify after a job offer is accepted and Form I-9 completed.