{"id":3285418,"url":"https://alion.io/job/clera-lead-data-platform-engineer-4","title":"Lead Data Platform Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":208000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-26T17:11:12Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T03:02:14Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the Role\nLead the design and operation of a production data platform for a procurement technology product. This hands-on technical leadership role connects enterprise data sources to reliable analytics, working closely with product and engineering colleagues and customer IT teams.\nWhat You'll Do\nDesign multi-tenant architecture and reusable data models with strong tenant isolation and appropriate access controls.\n\nBuild data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.\n\nDevelop repeatable integrations and synchronization patterns for enterprise systems, including ERPs.\n\nOwn ingestion, orchestration, monitoring, and recovery for production data workflows.\n\nCreate tools and processes that make data onboarding, troubleshooting, and analytics development more efficient.\n\nUse and evaluate AI development tools to improve engineering workflows.\n\nWhat We're Looking For\nAt least 5 years of experience building production data systems, including ownership of architecture and implementation.\n\nStrong SQL and Python skills, with experience in data modeling and query optimization.\n\nPractical experience designing multi-tenant systems with data isolation and access controls.\n\nExperience integrating enterprise systems and working directly with customer IT teams on schemas, APIs, permissions, and synchronization.\n\nExperience operating ingestion, orchestration, monitoring, and recovery in production.\n\nBackground in data-intensive B2B SaaS or fintech is useful; procurement experience is not required.\n\nCompensation & Benefits\nCompetitive salary and meaningful equity. Visa sponsorship is not available.\nLocation\nOn-site in Berlin, Germany. 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