{"id":3526786,"url":"https://alion.io/job/xebia-aws-databricks-platform-engineer","title":"AWS Databricks Platform Engineer","company":{"id":1386,"name":"Xebia","domain":"xebia.com","url":"https://alion.io/company/xebia","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"C","score":66,"open_postings":35,"ghost_share":0.571,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-06T05:58:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","Wrocław, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":94000,"period":"year","method":"role_country_seniority_unknown","sample_n":422},"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":"GCP","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-30T12:51:19Z","employer_posted_date":null,"last_verified_at":"2026-10-30T12:51:19Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. \nWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. \nIn the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. \n\nYou will:\nbuild, configure, and maintain Databricks workspaces and platform services,\n\ndevelop and maintain Infrastructure as Code solutions using Terraform,\n\nimplement and support deployment processes using Databricks Asset Bundles (DABs) or similar frameworks,\n\ndesign, implement, and maintain CI/CD pipelines,\n\nautomate infrastructure provisioning, environment setup, and release management,\n\nimplement and maintain Unity Catalog and support enterprise data platform governance,\n\nsupport platform qualification and validation activities, including automated generation of validation evidence,\n\nsupport disaster recovery setup, resiliency improvements, and recovery testing,\n\nimplement and maintain data ingestion routes and supporting platform capabilities,\n\nmanage platform-related change control activities in line with documented processes,\n\nprovide operational support for the platform, including sandbox provisioning,\n\ncollaborate with platform, cloud, SRE, architecture, and engineering teams,\n\nsupport knowledge transfer, platform handover, and operational transition activities.\n\nYour profile:\nhands-on experience with Databricks platform administration and engineering,\n\nstrong knowledge of Infrastructure as Code using Terraform,\n\nexperience with Databricks Asset Bundles (DABs) or similar deployment frameworks,\n\nexperience designing and maintaining CI/CD pipelines,\n\nunderstanding of cloud platform operations and DevOps practices,\n\nexperience with platform automation, environment provisioning, and release management,\n\nfamiliarity with disaster recovery, resiliency, and recovery testing,\n\nexperience working in enterprise-scale cloud environments,\n\nability to collaborate effectively with platform, cloud, SRE, and engineering 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