{"id":127784,"url":"https://alion.io/job/brillio-databricks-architect-r01568474","title":"Databricks Architect - R01568474","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":42,"ghost_share":0,"stale_share":0.952,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false}],"status":"closed","first_seen_at":"2026-07-14T14:38:06Z","employer_posted_date":"2026-07-14","last_verified_at":"2026-10-31T01:59:20Z","board_verified":false,"closed_at":"2026-10-31T01:59:20Z","days_open":108,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":106},"description":"Databricks Architect \nExperience\n12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering enterprise-scale data and AI platforms.\nRole Overview\nWe are seeking a Data & AI Architect to lead the design and implementation of modern data and AI platforms. The ideal candidate will bring deep expertise in either the Databricks ecosystem or Google Cloud Platform (GCP), combined with strong data engineering and architecture fundamentals and hands-on experience with Generative AI and Agentic AI solutions.\nThe role will be responsible for defining scalable data architectures, enabling AI adoption, and driving modernization initiatives across data, analytics, and AI capabilities.\nKey Responsibilities\nLead the architecture and design of enterprise Data & AI platforms supporting analytics, reporting, machine learning, and AI-driven business capabilities.\nDefine scalable data architecture, governance, security, and operational frameworks for modern cloud-native platforms.\nPartner with business and technology stakeholders to identify and prioritize data modernization, AI, and automation opportunities.\nArchitect and guide implementation of AI, Generative AI, and Agentic AI solutions leveraging enterprise data assets.\nEstablish architecture standards, best practices, and technology roadmaps across data engineering and AI initiatives.\nProvide technical leadership and mentorship to engineering, platform, and AI teams.\nRequired Skills & Experience\nStrong expertise in data architecture, data engineering, data warehousing, data lakes, lakehouse architectures, data modeling, metadata management, and data governance.\nProven experience designing and implementing enterprise-scale data platforms from ingestion through analytics and AI consumption layers.\nDeep understanding of batch, streaming, and real-time data processing architectures.\nStrong hands-on experience in one of the following technology tracks:\nDatabricks Track: Databricks Lakehouse Platform, Delta Lake, Unity Catalog, Spark, Workflows, ML/AI capabilities, Mosaic AI, Agent frameworks, and enterprise data engineering patterns.\n Google Cloud Track: BigQuery, Dataproc, Dataflow, Vertex AI, Cloud Storage, AI/ML services, and modern cloud-native data platform architectures.\nExperience building scalable cloud-native data platforms with strong focus on performance, governance, security, and operational excellence.\nStrong understanding of Generative AI, LLMs, RAG, Vector Databases, AI Agents, Multi-Agent Architectures, and Agentic AI patterns.\nHands-on experience designing and deploying AI solutions using Databricks AI capabilities, Vertex AI, foundation models, and enterprise AI frameworks.\nExperience integrating AI capabilities into enterprise data platforms while ensuring governance, security, and responsible AI practices.\nStrong understanding of data quality, lineage, observability, metadata management, and platform governance.\nExcellent stakeholder management, communication, and leadership skills with the ability to bridge business and technology teams.\nExperience working in Real Estate, Property Technology, Marketplace, Consumer Digital, or adjacent industries is preferred but not 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