Data Architect (Erwin and Healthcare)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect (Erwin and Healthcare) on a remote contract basis, requiring a Master’s degree and 7+ years in data modeling. Key skills include ERWin, SQL, and healthcare industry experience. Pay rate and contract length are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#FHIR (Fast Healthcare Interoperability Resources) #Compliance #Data Analysis #Collibra #Data Governance #Data Quality #Data Architecture #Informatica #SQL (Structured Query Language) #Data Catalog #Data Management #MagicDraw #Leadership #Data Modeling #Snowflake #Cloud #Data Engineering #RDS (Amazon Relational Database Service) #ERWin #AWS (Amazon Web Services) #Computer Science #Logical Data Model #Metadata #DMP (Data Management Platform)
Role description
Trust you are doing well. I came across your info, and I wanted to see if you are interested in exploring opportunities. This is a  Contract  opportunity in  Remote Please review the below job description and contact me ASAP. • • • Please disregard this email if you feel you received it in error or are not looking for a new opportunity. Your resume has been identified in our database as a potential fit for an opening with one of our clients • • • Position - Data Architect Type - contract Location - Remote\\ We are seeking a highly skilled and motivated Associate Director of Data Modeling to join the enterprise data services team. This leader will drive the design, development, and governance of enterprise data models to support operations, analytics, reporting, interoperability, and data-driven decision-making. The ideal candidate combines technical expertise in data modeling with proven leadership skills to build a data modeling practice within LQTC. This individual will report to the Chief Data Officer and will be expect to collaborate with technical and business stakeholders. Key Responsibilities: ·        Lead the development and maintenance of conceptual and logical data models for enterprise data assets, in alignment with business requirements and industry standards. ·        Partner with business units, functional support units, data architects, data engineers, and data analysts to map business processes into reusable and documented data structures. ·        Define and enforce data modeling standards, naming conventions, and best practices across the LQTC data ecosystem. ·        Ensure data models support interoperability and compliance with healthcare regulations (e.g., HIPAA and HITRUST). ·        Collaborate with enterprise architects, platform developers, and analytics teams to incorporate common data models into their products. ·        Conduct impact analyses on proposed changes to existing data structures, for review by the data governance board. ·        Contribute to data governance processes by ensuring data definitions, lineage, and metadata are documented and consistent. ·        Manage and mentor a team of data modelers, providing guidance and professional development opportunities. ·        Stay current on emerging trends in data modeling, healthcare data standards (e.g., FHIR, HL7, and OMOP), and advanced analytics. Minimum Requirements: ·        Master’s degree in Computer Science, Health Informatics, or a related field. ·        7+ years of experience in data modeling with demonstrated expertise developing conceptual and logical models. ·        Strong experience with data modeling tools, such as ERWin or MagicDraw. ·        Proficiency in SQL and cloud-hosted data management platforms, such as RDS or Snowflake. ·        Familiarity with data governance, data quality, and metadata management practices. ·        Experience developing and leading teams. ·        Excellent communication skills, with the ability to translate between business terminology and technical jargon. Preferred Requirements: ·        10+ years of experience in data modeling with demonstrated expertise developing conceptual and logical models. ·        Experience in the healthcare industry, including familiarity with health IT systems for managing patient, provider, and clinical data. ·        AWS cloud certified data engineer, or similar credential ·        Familiarity with data interoperability tools, such as Mulesoft, and data catalogs, such as Collibra or Informatica. ·        Familiarity with adaptive data modeling approaches, such as FHIR or NIEM.