{"id":1233794,"url":"https://alion.io/job/symphoni-hr-databricks-platform-engineer","title":"Databricks Platform Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":42000,"period":"year","method":"role_seniority_country_cell","sample_n":48},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Delta Lake","optional":false},{"name":"FinOps","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-07T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-29T17:13:54Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"We are seeking a Databricks Platform Engineer to manage and optimize enterprise-grade Databricks environments on AWS. This role is pivotal in ensuring the stability, security, and performance of our data platforms, enabling engineering teams to deliver high-impact AI and data solutions efficiently.\nOur client is a leading global provider of data-driven digital solutions and analytics, serving a diverse portfolio of international clients. With a strong focus on cutting-edge engineering and artificial intelligence, they empower organizations to drive digital transformation at scale through innovative technology strategies.\nResponsibilities\nAdminister and manage Databricks workspaces across development, testing, and production environments.\nConfigure and maintain cluster policies, instance pools, and Databricks Runtime upgrades to ensure optimal performance.\nImplement robust security frameworks using AWS IAM, Unity Catalog, RBAC, and service principals.\nDevelop and maintain CI/CD pipelines and Infrastructure as Code using Terraform to automate platform deployments.\nMonitor platform health and troubleshoot production issues to ensure high availability.\nDrive cloud cost optimization initiatives through effective cluster sizing and workload management.\nCollaborate with cross-functional teams including Data Engineering, DevOps, and Security to maintain a scalable platform architecture.\nRequirements\n6-8 years of professional experience in platform engineering or related fields.\n3-5+ years of hands-on experience with Databricks platform administration on AWS.\nDeep expertise in Unity Catalog implementation, governance, and AWS IAM security integration.\nProficiency in Terraform, CI/CD methodologies, and Git version control.\nStrong understanding of Lakehouse architecture, Delta Lake, and Apache Spark.\nExperience with platform monitoring tools such as Datadog or Splunk.\nBachelor's degree in Computer Science, Engineering, or a related technical field.\nStrong knowledge of FinOps principles and cloud cost management.","description_format":"text","description_chars":2036,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T15:44:01Z"}],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.527,"p_room":0.9,"age_days":22,"expected_fill_days":42,"reasons":["conf:5","agency","velocity","win:mid","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-databricks-platform-engineer","json_url":"https://alion.io/job/symphoni-hr-databricks-platform-engineer.json","meta":{"generated_at":"2026-09-30T02:20:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1615,"day_limit":5000,"remaining_today":3385,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}