{"id":3062394,"url":"https://alion.io/job/unisongroup-senior-databricks-solution-architect-2","title":"Senior Databricks Solution Architect","company":{"id":448684,"name":"Unison Group","domain":"unisongroup.com","url":"https://alion.io/company/unisongroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":73,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":122000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"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":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Feature Store","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-23T00:00:00Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-29T00:42:39Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":97},"description":"We are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform. The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.\nKey Responsibilities\nDesign and architect Databricks Lakehouse solutions for large-scale enterprise data platforms.\nLead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.\nDefine Databricks workspace architecture, cluster strategies, security models, and operational standards.\nDesign and develop scalable data pipelines using Databricks, Apache Spark, PySpark, SQL, and Delta Lake.\nImplement data ingestion frameworks supporting batch and real-time data processing.\nDesign Delta Lake architectures including:\nDelta tables\nMedallion architecture (Bronze/Silver/Gold layers)\nData quality frameworks\nSchema evolution and optimization\nPerform Databricks performance tuning:\nCluster optimization\nSpark job optimization\nQuery tuning\nCost optimization\nImplement Databricks governance and security using:\nUnity Catalog\nAccess controls\nData lineage\nAudit capabilities\nLead migration projects from legacy data platforms to Databricks Lakehouse.\nDefine best practices for Databricks CI/CD, DevOps, and environment management.\nCollaborate with data engineers, data scientists, analysts, and enterprise architects.\nProvide technical guidance, architecture documentation, and design reviews.\nSkills & Experience\nStrong experience in data engineering, big data, or solution architecture.\nStrong hands-on experience with Databricks Platform.\nExpert knowledge of:\nApache Spark\nPySpark / Scala\nDelta Lake\nSQL\nData Lakehouse architecture\nETL/ELT development\nExperience designing and delivering enterprise Databricks solutions.\nStrong experience with cloud platforms:\nAzure Databricks (preferred)\nAWS Databricks\nGoogle Cloud Databricks\nExperience with:\nDatabricks Workflows\nJobs orchestration\nNotebooks\nRepos\nCluster management\nUnity Catalog\nPreferred Skills\nDatabricks Certified Data Engineer Professional / Databricks Certified Architect.\nExperience with:\nMLflow\nDatabricks Machine Learning\nFeature Store\nModel deployment\nMLOps\nKnowledge of streaming technologies:\nStructured Streaming\nKafka\nExperience with data governance, compliance, and enterprise security frameworks.\nKey Competencies\nStrong Databricks architecture and implementation expertise.\nAbility to design scalable and cost-efficient Lakehouse solutions.\nStrong troubleshooting and performance optimization skills.\nAbility to lead technical discussions with enterprise 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