{"id":3908246,"url":"https://alion.io/job/querentia-databricks-architect","title":"Databricks Architect","company":{"id":4460938,"name":"Querentia","domain":"querentia.com","url":"https://alion.io/company/querentia","size_band":"1-10","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":57,"open_postings":218,"ghost_share":0.716,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"IAM","optional":false},{"name":"Terraform","optional":false},{"name":"Azure Data Factory","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-07T19:40:37Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":16},"description":"Databricks ArchitectLocation: Toronto, Canada (Remote)\nEmployment Type: Contract-to-Hire (possible 3-month CTH)\nJob Summary\nWe're looking for an experienced Databricks Architect to design, implement, and govern an enterprise data platform on Azure Databricks. You'll lead the platform architecture end to end, covering workspace provisioning, data lake design, security controls, metadata management, and source-system integration. The goal is scalable, secure, and well-governed analytics and data engineering capabilities. You'll produce HLD/LLD designs, define platform standards, lead automated deployments, and take the platform through to production readiness.\nKey Skills\nAzure Databricks architecture and administration\nADLS Gen2, Unity Catalog, and Azure Key Vault\nAzure networking, Private Link, and private endpoints\nLakehouse and medallion architecture design\nData governance, IAM, secrets management, and compliance controls\nCI/CD and Infrastructure as Code (Terraform preferred)\nData orchestration, ingestion frameworks, and enterprise source connectivity\nHLD/LLD solution design\nRequired Qualifications\nStrong hands-on experience in Azure Databricks architecture and administration.\nProven experience designing enterprise-scale data lakehouse and data platform solutions.\nExperience designing workspace, compute, networking, and private-access architecture.\nHands-on experience implementing Unity Catalog governance, catalog structures, and access controls, and securing ADLS Gen2 storage, including private endpoints and retention policies.\nExperience with CI/CD, Terraform, and platform automation for environment deployment.\nSolid understanding of data integration and ingestion patterns, and of source-system authentication.\nThe ability to define cluster, runtime, operational, and security standards, and to support testing, troubleshooting, and production readiness.\nNice to Have\nDatabricks or Azure certifications (e.g., Databricks Data Engineer Professional, Azure Solutions Architect Expert).\nExperience with Azure Data Factory or Databricks Workflows.\nExperience migrating legacy data platforms to Databricks.\n• A background in regulated industries such as BFSI or 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