{"id":2988123,"url":"https://alion.io/job/devoteam-databricks-data-architect","title":"DATABRICKS Data Architect","company":{"id":6640,"name":"Devoteam","domain":"devoteam.com","url":"https://alion.io/company/devoteam","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":89,"open_postings":541,"ghost_share":0,"stale_share":0.423,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","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":["Madrid, Spain"],"countries":["ES"],"hiring_countries":["ES"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":254000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":725},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-21T07:59:23Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-24T16:22:24Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Are you passionate about data and enjoy designing modern, scalable, and secure data architectures?\nAt Devoteam, we are looking for a Databricks Data Architect to join our team and contribute to data architecture, platform modernization, and digital transformation projects for leading clients.\nYou will work with the Databricks Data Intelligence Platform, designing Lakehouse solutions across cloud and multi-cloud environments, enabling advanced analytics, data engineering, and Artificial Intelligence capabilities.\nWe are looking for someone with strong technical expertise, an architectural mindset, autonomy, and a customer-oriented approach.\n You will be responsible for designing, implementing, and optimizing Databricks-based data architectures, ensuring scalable, secure, and efficient solutions.\nYour main responsibilities will include:\nDesign and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments.\n\nDevelop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines.\n\nImplement data governance, security, and lineage frameworks using Unity Catalog.\n\nDefine AI governance mechanisms using Unity Gateway.\n\nDesign environments supporting Machine Learning, Generative AI, and advanced analytics using MLflow and Databricks Genie.\n\nOptimize Databricks platform performance and costs, applying FinOps best practices.\n\nParticipate in data platform modernization and migration projects towards Lakehouse architectures.\n\nAdvise clients on Databricks best practices and collaborate with technical and business teams.\n\n WHAT ARE WE LOOKING FOR?\nStrong experience in data architecture and designing Databricks-based solutions.\n\nDeep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon.\n\nExperience with cloud platforms such as Azure, AWS, or GCP.\n\nKnowledge of cloud infrastructure, networking, storage, and IAM security.\n\nExperience designing ETL/ELT pipelines and data processing solutions.\n\nKnowledge of data governance, performance optimization, and Lakehouse architectures.\n\nStrong communication skills, autonomy, and a customer-oriented mindset.\n\nFluent English and Spanish, both written and spoken.\n\nDegree in Computer Science, Information Systems, or equivalent professional experience.\n\nNice to have:\nExperience with Lakeflow, MLflow, Genie, or Unity Gateway.\n\nKnowledge of Generative AI and Machine Learning.\n\nExperience migrating legacy data platforms to Databricks.\n\nKnowledge of FinOps and cloud cost optimization.\n\nDatabricks Data Engineer Professional certification or Platform Architect accreditations.\n\n WHAT CAN YOU EXPECT FROM DEVOTEAM?\nAt Devoteam, we believe technology creates greater impact when combined with talented people. 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