{"id":1975549,"url":"https://alion.io/job/infinitive-director-databricks-platform-architect-unity-catalog-enablement-infinitive-inc-2","title":"Director, Databricks Platform Architect - Unity Catalog Enablement - Infinitive Inc","company":{"id":3856688,"name":"Infinitive","domain":"infinitive.com","url":"https://alion.io/company/infinitive","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":162000,"max_usd":304000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"GDPR","optional":false},{"name":"GraphQL","optional":false},{"name":"HIPAA","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-06T21:11:53Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-11-05T23:44:41Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"About Infinitive Infinitive is a data & AI consultancy that enables global brands to deliver results through insights, innovation, and efficiency. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.\nInfinitive has been named “Best Small Firms to Work For” by Consulting Magazine eight times, and has also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work.\nRole Overview\nThis architect will define and shape a unified platform service that enables scalable, governed, and cost-efficient data access across the bank. The ideal candidate will influence enterprise design standards and technical adoption by making Databricks Unity Catalog the effortless, observable, and default foundation for data integration, governance, and analytics across all business domains.\nKey Responsibilities\nPlatform Vision & Architecture\nDefine and champion the end-to-end architecture for the bank’s Databricks-based data platform, ensuring scalability, security, cost efficiency, and ease of adoption.\nDesign a self-service platform layer that leverages Databricks Unity Catalog to deliver seamless data discovery, access, and observability across all environments.\nEstablish architectural patterns and reference implementations that encourage enterprise-wide reuse and standardization.\n Unity Catalog Strategy & EnablementLead the design and implementation of Databricks Unity Catalog as the central governance plane-defining catalog hierarchies, fine-grained access controls, and cross-environment lineage.\nEvaluate and implement metadata, RBAC/ABAC, and data masking capabilities to meet regulatory and compliance requirements (e.g., GLBA, GDPR, HIPAA).\nDefine the template architecture that allows Unity Catalog to operate as a scalable and cost-effective shared service across lines of business.\nScalability, Cost, and ObservabilityEngineer platform capabilities that provide deep visibility into compute, storage, and catalog operations through integrated observability, monitoring, and FinOps practices.\nDevelop resource optimization strategies to balance performance and cost while maintaining compliance and SLAs.\nEstablish metrics, dashboards, and alerts to ensure the platform scales predictably under enterprise workloads.\nAPI and Integration DesignArchitect streamlined RESTful/GraphQL APIs for secure, governed data access and metadata integration.\nEnsure interoperability with enterprise systems, APIs, and external data consumers using modern, consistent, and documented integration patterns.\n Data Modeling & Pipeline StrategyGuide teams in building Lakehouse-aligned data models that maximize reuse and governance.\nOversee design of ETL/ELT architectures (Spark, PySpark, SQL) that integrate seamlessly with Unity Catalog for lineage and access tracking.\nCollaboration & InfluencePartner with engineering, data science, and risk teams to align platform design with business outcomes and regulatory expectations.\nInfluence architecture steering committees and platform engineering groups to adopt the Databricks foundation as a managed, enterprise-wide service.\nPromote a culture of easy adoption through clear design patterns, documentation, and working sessions.\n Technical Leadership & MentorshipMentor engineers and architects on Databricks, Unity Catalog, and best practices for cost, scale, and observability.\nContribute to internal architecture communities and upskill teams across multiple 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