Lead Data Platform Engineer

Clera

Berlin, Germany

On-site

Who this role is best for

Aimed at mid-to-senior data engineers who have owned end-to-end data platform architectures and worked with enterprise systems.

Best fit for

Candidates with hands-on experience in multi-tenant data architecture and enterprise system integration
— “Design multi-tenant architecture and reusable data models that protect customer data and support fast, reliable queries.”
Individuals who have led data ingestion, orchestration, and recovery processes in production environments
— “Own data ingestion, orchestration, monitoring, and recovery, and build tools that improve onboarding and troubleshooting.”
Professionals comfortable engaging directly with customer IT teams on technical details
— “Comfort discussing schemas, APIs, permissions, and synchronization directly with customer IT teams.”

Things to consider

On-site presence in Berlin is required, which may limit remote flexibility
— “On-site in Berlin, Germany.”
The role demands ownership of data platform architecture and implementation
— “At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation.”

How to stand out

Highlight experience with multi-tenant systems and data isolation in your resume and interviews
— “Practical experience designing multi-tenant systems with data isolation and access controls.”
Demonstrate your ability to build tools for data onboarding and troubleshooting
— “Build tools that improve onboarding and troubleshooting.”
Showcase your SQL and Python expertise with concrete examples of query optimization
— “Strong SQL and Python skills, with experience in data modeling and query optimization.”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design and operation of a production data platform
ownership of architecture and implementation
discussion of schemas, APIs, permissions, and synchronization with customer IT teams

Typical background

5+ years of experience building and operating production data systems

Skills & requirements

Required

Data ModelingSQLPythonMulti-tenant ArchitectureData IngestionData OrchestrationData MonitoringData RecoveryEnterprise System IntegrationData CleaningReconciliationAnalytical CalculationsData Security

Preferred

AI Development ToolsAutomation

Stack & domain

SQLPythonData ModelingQuery OptimizationMulti-tenant SystemsData IsolationAccess ControlsData IngestionOrchestrationMonitoringRecoveryEnterprise SystemsErpsAi-powered Development ToolsAutomationEngineering WorkflowsLeadershipCommunicationProblem-solvingProcurementFinance

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Lead the design and operation of a production data platform for a B2B procurement technology product. You will work hands-on with product and engineering teams, as well as customer IT teams, to make enterprise data reliable, secure, and useful for procurement analytics.
WHAT YOU'LL DO
Design multi-tenant architecture and reusable data models that protect customer data and support fast, reliable queries.
Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
Connect enterprise systems such as ERPs, choose suitable synchronization patterns, and make integrations repeatable.
Own data ingestion, orchestration, monitoring, and recovery, and build tools that improve onboarding and troubleshooting.
Explore AI-powered development tools and automation to help improve engineering workflows.
WHAT WE'RE LOOKING FOR
At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation.
Strong SQL and Python skills, with experience in data modeling and query optimization.
Practical experience designing multi-tenant systems with data isolation and access controls.
Experience owning ingestion, orchestration, monitoring, and recovery, and integrating enterprise systems.
Comfort discussing schemas, APIs, permissions, and synchronization directly with customer IT teams.
Data-intensive B2B SaaS or fintech experience is useful; procurement experience is not required.
COMPENSATION & BENEFITS
Competitive salary and meaningful equity. Visa sponsorship is not available.
LOCATION
On-site in Berlin, Germany.

Source: Clera careers (Ashby)