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Lead Data Platform Engineer

Clera • Python • SQL • 11 hours ago

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Salary

≈ $89k – $198k per year (Estimated)

Location

In office (Berlin)

Seniority

Staff · 5+ years exp

Visa

No sponsorship (stated in the posting)

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 4, 2026. Clera scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Clera

Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

getclera.com • HQ: San Francisco, United States • HR & Recruiting AI • Recruiting & Staffing • 11-50 employees • Est. 2023

About the Role

As Lead Data Platform Engineer, you will own the data foundation behind an AI-powered procurement platform. You will shape its architecture and build reliable data capabilities that help customers make informed spend decisions.

What You'll Do

Design and evolve multi-tenant architecture, shared data models, and controls that keep customer data isolated, trustworthy, and performant.
Build data cleaning, reconciliation, and calculation foundations for spend analysis, benchmarks, and simulations.
Work with customer IT teams to connect ERP systems, establish secure access, and turn integrations into reusable platform capabilities.
Own ingestion pipelines, orchestration, monitoring, and recovery, and build tools that speed up onboarding and issue resolution.
Explore AI-powered engineering tools and automation to improve how the team builds.

What We're Looking For

5+ years of experience building and operating substantial production data systems, with ownership of architecture and implementation.
Strong skills in SQL, Python, data modeling, and query optimization.
Experience designing multi-tenant systems with robust data isolation and access controls.
Background integrating enterprise systems and collaborating with customer IT teams on their data environments.

Compensation & Benefits

Visa sponsorship is not available for this role.

Location

This is an on-site role based in Berlin, Germany.

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