Data Architect

Empowerpharmacy · US Remote

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility serving the functional medicine markets, we are proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025.

Our strength lies in four core values—People, Quality, Service, and Innovation. Guided by these principles, we deliver a uniquely integrated approach to healthcare through vertical supply chain integration, advanced technology, and a relentless pursuit of excellence. From manufacturing to distribution to quality control, our teams work collaboratively to push boundaries, improve patient outcomes, and redefine medication accessibility.

At Empower, joining our team means more than starting a new job, it means becoming part of a mission to transform healthcare. We empower our employees to innovate, grow, and make a meaningful impact every day. Here, your ideas are valued, your growth is supported, and your contributions are celebrated.

If you thrive in a fast-paced, transformative environment where innovation meets purpose, Empower Pharmacy is the place for you. Let’s revolutionize healthcare together.

Position Summary:

Empower Pharmacy is seeking a Data Architect to serve as an individual contributor responsible for designing scalable, fit-for-purpose data architecture across the enterprise. This is a highly technical, execution-oriented role focused on defining data models, integration patterns, architectural standards, and reference designs that improve the quality, usability, security, and scalability of our data ecosystem. The role partners closely with Data Engineering, Analytics, Governance, Security, and business stakeholders to translate business needs into durable data solutions across operational and analytical environments. Hands-on Master Data Management (MDM) experience is highly recommended.

Responsibilities:

  • Define conceptual, logical, and physical data architectures across operational, analytical, and curated data environments, ensuring fit-for-purpose designs that support enterprise analytics, reporting, and long-term platform scalability.
  • Design scalable data models, including domain and canonical models, and integration patterns for ingestion, transformation, storage, and consumption across modern data platforms to improve consistency, interoperability, and reuse.
  • Establish architectural standards and reference designs for data ingestion, storage, transformation, semantic consistency, and consumption to enable reliable and durable data solutions.
  • Produce and maintain key architecture artifacts including data models, solution diagrams, source-to-target mappings, interface specifications, lineage expectations, data flow documentation, and technical standards.
  • Partner with Data Engineering, Analytics, Governance, Security and Compliance, application teams, and business stakeholders to translate requirements into scalable data solutions and resolve structural data issues.

Knowledge and Skills:

  • Demonstrated experience designing enterprise or domain data architectures, data models, and integration patterns in modern cloud environments.
  • Advanced expertise in data modeling (conceptual, logical, and physical), SQL, data integration and pipeline design, data quality controls, metadata, and lineage management.
  • Experience with ETL/ELT processes, orchestration tools, metadata/catalog solutions, and API or file-based integration patterns preferred.
  • Strong stakeholder management, communication, systems thinking, and problem-solving skills, with the ability to influence across technical and business teams.
  • Knowledge of Master Data Management (MDM) concepts or implementation experience strongly preferred.

Experience and Qualifications:

  • Minimum of 10 years of experience in data architecture, with prior hands-on experience in data engineering, data management, analytics engineering, or related technical disciplines.
  • Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical field required.
  • DAMA/CDMP or other relevant data architecture, cloud, governance, or MDM certifications preferred.

Key Competencies:

  • Customer Focus: Builds trust through customer-centric solutions
  • Strategic AI: Guides responsible AI adoption and adaptation
  • Optimizes Work Processes: Drives efficiency with continuous improvement
  • Collaborates: Partners effectively to achieve shared goals
  • Resourcefulness: Secures and deploys resources efficiently
  • Manages Complexity: Simplifies and solves complex challenges
  • Ensures Accountability: Delivers on commitments with integrity
  • Situational Adaptability: Adjusts approach to shifting conditions
  • Communicates Effectively: Tailors messages to diverse audiences

Values:

  • People: Empowering people defines who we are
  • Quality: Excellence in every product, every time
  • Service: Serving others is our highest purpose
  • Innovation: Advancing care through technology and discovery

Employee Benefits, Health and Wellness:

We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/

Physical Requirements:

While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

 

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