Data Architect

Senior Data ArchitectOverviewOur client is seeking a highly experienced Senior Data Architect to help drive the evolution of its enterprise data platform and analytics ecosystem. This role will define and evolve enterprise lakehouse architecture while supporting analytics, reporting, governance, data science, AI workloads, and enterprise data integration initiatives.The architect will work across multiple applications, stakeholder groups, and data domains to deliver scalable, governed, high-performance data solutions. Success requires deep Databricks expertise, strong enterprise data modeling skills, exceptional communication, and the ability to proactively drive discussions, decisions, and delivery.ResponsibilitiesDesign and implement scalable enterprise data architecture solutions using Databricks Lakehouse and modern cloud data platform principles.Lead development and governance of Medallion Architecture patterns across Bronze, Silver, and Gold layers.Design conceptual, logical, and physical enterprise data models.Design dimensional models including star schemas, snowflake schemas, fact tables, dimension tables, conformed dimensions, reporting models, and SCD Type 1 and Type 2 structures.Define enterprise data architecture standards, modeling standards, naming conventions, and design best practices.Partner directly with business stakeholders, product owners, analytics teams, and engineering teams to gather requirements and drive architecture decisions.Design data solutions integrating multiple source systems while maintaining consistency, governance, and data integrity.Define source-to-target mappings, business definitions, transformation rules, and lineage requirements.Support migration and modernization initiatives from traditional data warehouse platforms into Databricks Lakehouse environments.Create and maintain architecture diagrams, ERDs, data dictionaries, standards, and technical documentation.Support governance initiatives involving metadata, lineage, data quality, stewardship, security, and access controls.Required Qualifications10+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or enterprise data platform leadership roles.Extensive hands-on experience designing and implementing solutions in Databricks.Strong experience with Databricks Lakehouse, Delta Lake, and Medallion Architecture.Strong experience designing conceptual, logical, physical, and dimensional data models.Advanced SQL skills and experience designing large-scale analytical data structures.Experience translating complex business requirements into scalable enterprise data architecture.Experience leading architecture discussions and influencing technical and business decision-makers.Strong understanding of ETL/ELT architectures, data integration, transformation, governance, lineage, metadata management, and data quality principles.Experience managing multiple applications, stakeholders, projects, and competing priorities simultaneously.Exceptional written and verbal communication skills.Ability to proactively identify risks, dependencies, and opportunities while driving initiatives forward with minimal oversight.Technical Environment & ExperienceDatabricks Lakehouse PlatformDelta LakeUnity CatalogApache Spark / PySparkMedallion Architecture (Bronze, Silver, Gold)Enterprise Data WarehousingConceptual, Logical, and Physical Data ModelingDimensional ModelingStar and Snowflake Schema DesignFact and Dimension ModelingSCD Type 1 and Type 2 ModelingSource-to-Target MappingData Integration and Transformation PipelinesMetadata ManagementData Quality, Governance, and LineageStructured and Semi-Structured DataAzure DatabricksADLSEnterprise Reporting & AnalyticsData Modernization InitiativesPreferred QualificationsHealthcare industry experience including provider, payer, clinical, revenue cycle, operational, population health, or healthcare analytics environments.Experience with Azure Databricks and Azure Data Lake Storage (ADLS).Experience using modeling tools such as ERwin, ER/Studio, Lucidchart, Visio, Sparx Enterprise Architect, or similar.Experience modernizing traditional platforms such as SQL Server, Oracle, Teradata, Snowflake, Synapse, or legacy enterprise data warehouses into Databricks environments.Knowledge of Data Vault, Data Mesh, Domain-Driven Design, or similar modern architecture approaches.Experience working within highly regulated environments and supporting governance, security, audit, and privacy requirements.Familiarity with CI/CD, Git, infrastructure automation, or DevOps practices supporting enterprise data platforms.Experience partnering with executive stakeholders and establishing enterprise architecture standards.Consulting experience or experience supporting rapidly evolving business priorities.Experience mentoring Data Engineers, Analytics Engineers, Developers, Data Modelers, or junior Architects.Exposure to AI, ML, or GenAI workloads supported by Databricks platforms.Ideal Candidate ProfileHighly proactive and self-directed.Exceptional stakeholder communication and follow-through.Comfortable driving conversations and decisions rather than waiting for direction.Able to balance strategic architecture responsibilities with hands-on technical leadership.Known for ownership, accountability, responsiveness, and delivery.Logistics100% RemoteU.S.-Based Candidates OnlyMulti-Year ContractMust be able to support standard Eastern and Central Time Zone business hours.Requires regular participation in stakeholder meetings, architecture reviews, planning sessions, and cross-functional collaboration.Success requires high visibility, responsiveness, and proactive engagement in a remote environment.