{"id":4223072,"url":"https://alion.io/job/v4c-databricks-architect-remote-us","title":"Databricks Architect (Remote, US)","company":{"id":4416653,"name":"v4c","domain":"v4c.ai","url":"https://alion.io/company/v4c","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Informatica","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Delta Lake","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-13T06:24:42Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T06:24:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"About V4C.ai\nV4C is a pure-play Databricks partner, and in under two years we have earned 850+ Databricks certifications across 325+ customers and been named Databricks' 2026 Partner of the Year (C&SI Emerging).\nAs a Data Architect, you’ll own the target-state architecture for enterprise Lakehouse platforms across industries, working directly with customers and often Databricks' own field teams. Every technical hire here gets a certification roadmap built for them and taught in-house by Databricks-approved trainers, plus a dedicated Employee Success Manager whose only responsibility is your experience at V4C\nThe Role\nThe Data Architect is the most senior technical voice on an engagement. You own the target-state architecture - how data moves, where it lands, how it’s governed, what it costs to run - and defend those decisions to customer architects and executives. Most of your work starts where a legacy estate is the constraint: Teradata, Informatica, Hadoop, or cloud sprawl nobody wants to own. You design the path to a Databricks Lakehouse, then stay close enough to the build that the design survives it.\nResponsibilities\nOwn the target-state Lakehouse architecture on enterprise engagements, including ingestion, storage, transformation, serving, and governance layers\nLead architecture assessments of legacy estates and produce migration paths with sequencing, risk, and effort\nDefine data modeling standards and Medallion layer conventions, and hold engineering teams to them across concurrent workstreams\nSet the Unity Catalog governance model: catalogs, schemas, access patterns, lineage, and audit posture\nMake and document platform trade-offs (compute sizing, storage format, streaming versus batch, build versus buy) with cost and performance reasoning a customer can take to their CFO\nProvide technical input into scoping and effort estimation on new engagements, including pre-sales discovery and proof-of-concept design\nMentor senior engineers, review designs, and raise the architectural bar across the practice\nProduce reference architectures, diagrams, and internal accelerators that make the next engagement faster\nRequirements\n8+ years in data engineering/architecture or analytics platform development\nDemonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms, from design through production\nDeep experience migrating legacy data warehouses or ETL estates to a modern cloud platform (Teradata, Informatica, Hadoop, Netezza, or equivalent)\nStrong proficiency in Python and SQL; 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