{"id":1722997,"url":"https://alion.io/job/emory-proton-enterprise-data-architect","title":"Enterprise Data Architect","company":{"id":2077528,"name":"Emory Proton Therapy Center","domain":"emoryproton.com","url":"https://alion.io/company/emoryproton","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":4,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":["GE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":156000,"max_usd":258000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":78},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Dimensional Modeling","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-02T21:15:49Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-09T01:18:33Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Overview\nBe inspired. Be valued. Belong.\nAt Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:\nComprehensive health benefits that start day 1\nStudent Loan Repayment Assistance & Reimbursement Programs\nFamily-focused benefits\nWellness incentives\nOngoing mentorship, development, leadership programs...and more!\nRemote position, however candidates must reside in one of the following states: Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, or Wisconsin.\nDescription\nThe Enterprise Data Architect serves as the strategic and technical leader for enterprise data architecture, cloud data platforms, semantic modeling, ontologies, governance, and AI-ready data ecosystems across the organization. You will be responsible for defining, governing, and advancing the enterprise data architecture strategy to support analytics, business intelligence, artificialintelligence (AI), operational reporting, research, and digital transformation initiativesacross the organization. This role serves as the senior technical authority for enterprisedata architecture, cloud data platforms, data modeling, integration architecture, metadatamanagement, and master data management.The Enterprise Data Architect partners closely with business leaders, data engineers,analytics teams, data scientists, application teams, governance committees, andexecutive stakeholders to develop a modern, scalable, and trusted data ecosystem. Therole ensures enterprise data assets are secure, governed, discoverable, interoperable, andoptimized for self-service analytics, AI, and operational decision-making.The architect leads the design and implementation of cloud-based data platforms andmodern data architectures leveraging technologies such as Microsoft Fabric, Databricks,data lakes, lakehouses and enterprise semantic layers.RESPONSIBILITIES: Enterprise Data Architecture:\nDefine and maintain the enterprise data architecture roadmap aligned with organizational goals and technology strategy.\nDevelop and maintain conceptual, logical, and physical enterprise data models.\nEstablish enterprise data standards, principles, patterns, and reference architectures.\nDesign future-state architectures that support business growth, scalability, interoperability, regulatory compliance, and innovation.\nAssess current-state data architecture and identify opportunities for modernization and optimization.\nLead architecture reviews and provide guidance for enterprise initiatives involving data, analytics, integration, and AI. Cloud Data Platform Architecture:\nDesign and govern modern cloud data platforms utilizing technologies such as Microsoft Fabric, Databricks, and other enterprise analytics platforms.\nDefine architecture patterns for data lakes, lakehouses, data warehouses, semantic models, and data products.\nEstablish architectural standards for real-time, batch, streaming, and event-driven data processing.\nGuide platform adoption and ensure alignment with enterprise architecture standards.\nEvaluate emerging technologies and determine their applicability to business and technical needs. Data Modeling and Information Architecture:\nLead enterprise data modeling efforts across operational, analytical, and AI use cases.\nDefine standards for dimensional, relational and canonical data models.\nEnsure consistency and alignment between business processes and enterprise information models.\nEstablish enterprise data domains and business subject area models.\nSupport data product development through reusable and standardized data structures. Semantic Layer and Ontology Architecture:\nDesign, develop, and govern enterprise shared semantic layer assets that provide consistent business definitions and metrics across the organization.\nLead development of certified semantic models, enterprise metrics layers, business glossaries, taxonomies, ontologies, and knowledge models.\nCreate reusable semantic assets that support Power BI, Microsoft Fabric, AI applications, enterprise reporting, self-service analytics, and agent-based solutions.\nEstablish governance processes for semantic model certification, lifecycle management, and adoption.\nEnsure semantic assets are discoverable, trusted, reusable, and aligned with data governance standards.\nDefine enterprise ontology frameworks that support AI, knowledge retrieval, intelligent search, and organizational knowledge management.\nPromote a shared semantic understanding across business units to improve consistency in analytics and decision-making. Data Governance and Information Management:\nPartner with data governance teams to establish and enforce enterprise data standards.\nSupport enterprise data stewardship, data quality, metadata management, and information lifecycle management initiatives.\nDevelop and maintain standards for data lineage, business metadata, technical metadata, and data cataloging.\nEnsure compliance with privacy, security, and regulatory requirements.\nPromote best practices for enterprise information management and data governance. Master Data Management:\nLead architecture and governance efforts related to master data and reference data management.\nDefine enterprise master data strategies and integration approaches.\nSupport maintenance of enterprise hierarchies, reference data structures, and canonical business entities.\nCollaborate with governance teams to improve data consistency across systems. Analytics, AI, and Data Products\nDesign architectures that enable advanced analytics, machine learning, generative AI, and intelligent automation solutions.\nSupport development of AI-ready data platforms, retrieval architectures, semantic indexes, and knowledge repositories.\nEstablish standards for reusable enterprise data products and analytics assets.\nPREFERRED QUALIFICATIONS:\nExperience with modern cloud data platforms such as Microsoft Fabric, Databricks or Snowflake.\nStrong expertise in enterprise data modeling, dimensional modeling, data lakehouse architectures, and data integration.\nExperience building and governing certified semantic models, enterprise semantic layers, and shared analytics assets.\nExperience developing business ontologies, taxonomies, knowledge models, and business glossary frameworks.\nKnowledge of metadata management, data lineage, data catalogs, and data governance frameworks.\nKnowledge of ETL, ELT, API integration, real-time streaming, and event-driven architectures.\nUnderstanding of AI, machine learning, generative AI, and knowledge retrieval architectures.\nStrong communication, leadership, facilitation, and stakeholder management skills.\nAbility to translate complex business requirements into enterprise architecture solutions.\nHealthcare industry experience including clinical, financial, operational, research, population health, or healthcare analytics domains and exposure to EHR systems such as EPIC.\nKnowledge of healthcare interoperability standards such as HL7, FHIR, and industry data models.\nTop Skills we are seeking in this candidate:\nEnterprise Architecture Experience: architecture leadership on at least one modern cloud data platform, preferably Microsoft Fabric or Databricks, with responsibility for defining standards, reference architectures, and platform strategy.\nData Modeling Expertise: Strong experience in enterprise data modeling, including dimensional modeling, conceptual and logical data models, canonical data models, and designing reusable data structures for analytics and reporting.\nModern Data Platform Design: experience designing and implementing data lakes, lakehouses, data warehouses, semantic layers ( semantic models and Ontologies ), and enterprise data products.\nData Engineering Background: 10+ years of experience in data engineering, data architecture etc. -- not being primarily focused on coding pipelines, workload migrations, report development, or day-to-day ETL implementation.\nMINIMUM QUALIFICATIONS:\nMinimum Education: Bachelor's degree in computer science, information management, or related field\nMinimum Experience: 10 years of experience with data warehousing or similar IT application. Prior experience in IT architecture designing and implementing roles in large-scale, distributed and complex IT environments.\nAdditional Details\nEmory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.\nEmory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare’s Human Resources at . 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