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# Lead Data Platform Engineer

- **Company:** Clera
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Cleansing, Data Infrastructure, Python (Programming Language), Operational Databases, Query Optimization, Standard Sql, Systems Integration, Enterprise Software Applications, Build Tools, Data Management
- **Published:** October 12, 2026
- **Apply:** https://startup.jobs/lead-data-platform-engineer-clera-10390644

## About the Role

* At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation.
 * Strong SQL and Python skills, with practical experience in data modeling and query optimization.
 * Experience designing multi-tenant systems with data isolation and access controls.
 * Experience integrating enterprise systems and working directly with customer IT teams.
 * Sound technical judgment, initiative, and the ability to execute quickly; experience in data-intensive B2B SaaS or fintech is useful, but procurement expertise is not required.

## Description

Lead the design and operation of a data platform for an AI-enabled procurement technology business. This hands-on technical leadership role will shape how enterprise data is connected, protected, and transformed into reliable analytics, working closely with product and engineering teams and customer IT teams., * Design multi-tenant architecture and reusable data models that keep customer information isolated, secure, and efficient to query.

 * Build data cleaning, reconciliation, and calculation foundations for spend analysis, supplier comparisons, benchmarks, and simulations.
 * Develop repeatable integrations with enterprise systems such as ERPs, including synchronization patterns and access controls.
 * Own ingestion, orchestration, monitoring, and recovery, and build tools that make onboarding and troubleshooting more efficient.
 * Collaborate with customer IT teams to understand their data, schemas, APIs, permissions, and integration needs.
 * Experiment with AI development tools and automation to improve how the team builds and delivers data capabilities.