Orcrist Technologies
Technology
TechLead(Python)
Neural analysis suggests this role is
optimal for Lead candidates.
“Tech Lead (Python) at Orcrist Technologies. Skills: Data lakehouse architecture, Python, Data engineering, Kubernetes. Lead technical architecture. Design lakehouse infrastructure”
Industry & Context.
EU/NATO citizenship preferred
What They're Looking For.
Must Have
6+ years data engineering, 2+ years leading teams, Expert Python, Deep lakehouse patterns, Deep data modeling, Streaming experience, Batch processing experience, Modern table formats experience
Nice to Have
Eligible to work in EU/NATO, German language B1+, Defense/government data experience, Graph databases experience, ML infrastructure experience
What You'll Do.
Lead technical architecture
Design lakehouse infrastructure
Build lakehouse infrastructure
Write production Python code
Set engineering standards
Mentor Data Engineers
Translate requirements
Design data governance systems
How You'll Work.
Team & Collaboration
Mentoring Data Engineers; Partner with Product
Full Job Description
Tech Lead Company Orcrist builds the Orcrist Intelligence Platform (OIP), a secure, Kubernetes-native system that powers open-source intelligence collection and analysis for defense and public safety customers. Role Lead the technical architecture of our data platform. You'll design and build the lakehouse infrastructure (Hudi, Trino, Kafka, NiFi, PySpark) that powers all downstream AI and analytics products, while mentoring a team of Data Engineers. What you'll do Own the architecture of our data lakehouse—make build-vs-buy decisions, create technical designs, and lead implementation. Write production Python code for critical data pipelines and infrastructure components (PySpark, Kafka, NiFi). Set engineering standards for code quality, testing, observability, and documentation. Mentor Data Engineers through code reviews, 1:1s, and technical guidance. Partner with Product to translate requirements into scalable technical solutions. Design data governance systems for lineage, cataloging, and compliance with government security standards. About you 6+ years in data engineering with 2+ years leading technical teams or architecture. Expert Python (PySpark, pandas) and SQL; deep understanding of lakehouse patterns and data modeling. Experience with streaming (Kafka), batch processing (Spark), and modern table formats (Hudi, Iceberg, or Delta). Track record of building and operating large-scale data platforms in production. Eligible to work in Germany; EU/NATO citizenship preferred for export-control work. Nice‑to‑haves German language (B1+) Experience with defense/government data environments Graph databases, or ML infrastructure. What We Offer Modern stack (Hudi, Ozone, PySpark, Trino, Kafka, Kubernetes) Mission-driven impact Remote-first in Germany Berlin meetups 30 days vacation Equipment & learning budget
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