{"id":3481813,"url":"https://alion.io/job/atain-databricks-architect","title":"Databricks architect","company":{"id":3805366,"name":"Atain","domain":"atain.com","url":"https://alion.io/company/atain","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-29T17:21:23Z","employer_posted_date":null,"last_verified_at":"2026-10-29T17:21:23Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Databricks Data Platform Architect\nRole Overview\nWe are looking for a senior, hands-on Databricks Architect to lead the design and delivery of an enterprise data lakehouse. The role will establish a secure, scalable platform and drive adoption of Databricks capabilities across data engineering, governance, analytics, and AI readiness.\nKey Responsibilities\nOwn lakehouse architecture and implementation roadmap, including workspaces, cloud integration, storage, networking, identity, and compute.\nDesign batch, streaming, and CDC pipelines using Delta Lake, Auto Loader, and Lakeflow, with layered data architecture, modeling, data quality, and reliable incremental processing.\nEstablish Unity Catalog governance covering access controls, sensitive-data protection, lineage, discovery, and auditability.\nEnable Databricks SQL, BI integration, curated data products, and governed business metrics; assess Genie and AI/ML capabilities against business needs.\nLead performance and cost optimization, CI/CD, infrastructure automation, monitoring, failure recovery, and disaster recovery.\nGuide client stakeholders and engineering teams through architecture decisions, implementation reviews, production readiness, and knowledge transfer.\nEssential Skills & Experience\nProven ownership of enterprise Databricks platforms delivered into production.\nStrong hands-on expertise in Spark, PySpark, Python, SQL, Delta Lake, Unity Catalog, and pipeline orchestration.\nExperience with lakehouse modeling, streaming, CDC, schema evolution, deduplication, and safe pipeline recovery.\nStrong AWS or Azure expertise, including platform security, networking, storage, and enterprise integration.\nDemonstrated performance troubleshooting, cost optimization, automated testing, CI/CD, and infrastructure-as-code experience.\nStrong client-facing communication and technical leadership, with clear examples of architecture trade-offs and production outcomes.\nPreferred\nDatabricks Data Engineer Professional certification.\nExperience with serverless compute, Terraform, Declarative Automation Bundles, and warehouse migration.\nExposure to AI/BI Genie, MLflow, model serving, vector search, or RAG on governed enterprise data.\nIdeal Candidate\nA hands-on architect who can build the lakehouse foundation, lead delivery, and expand Databricks adoption in line with business priorities.","description_format":"text","description_chars":2360,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-29T20:10:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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