Senior Data Platform Architect | Robotics Hyperscaler | Munich

AI Futures are partnered exclusively with the most exciting AI startup in Germany to find a Senior Data Platform Architect.

This is a once in a lifetime opportunity to create a new industry by building the operating system for physical-world intelligence. Funded by Tier 1 VCs the company are developing a new category of autonomous systems capable of delivering low-signature, persistent intelligence at scale, creating a programmable layer that connects the physical world to organisations and turns deployments into real insight. With initial applications in defence and long-term applications across security, infrastructure and industry, the company is scaling from 50 to 200 people in 2026.

This is a chance to get in at the perfect time, work on one of the most technically ambitious AI deployments in the world, learn from a team of A Players and exited founders, experience long-term career development and profit from the equity upside.

The Role:

• Hands‑on architect responsible for the end‑to‑end data flow from devices to cloud, treating data as a product and enabling analytics and ML/AI at scale.
• Own the data architecture from device → field hub → cloud, ensuring data is available for analytics, training and AI use cases
• Design and evolve a data‑mesh‑aligned platform, where data products are well‑defined, governed, and consumable by teams
• Enable ML/AI workflows by ensuring high‑quality, well‑modeled, and accessible datasets
• Work with heterogeneous data types, including sensor data, motion data, audio, images, and video
• Define and enforce data governance, including multi‑tenant customer isolation and controlled data sharing
• Acts as a hands‑on architect, building and improving pipelines, schemas, and platform tooling while guiding decisions via ADRs

The Candidate:

• 50–70% hands‑on contribution to platform and pipeline implementation
• Strong experience designing scalable telemetry and data platforms
• Practical application of data mesh principles and data products
• Experience working with heterogeneous data (sensor, audio, image, video)
• Strong focus on ML/AI enablement and analytics workloads
• Expertise in data modeling, data quality, schema evolution, and metadata management
• Strong understanding of data governance, including multi‑tenant and customer data isolation
• Hands‑on experience with AWS‑based data platforms e.g. S3, Glue, Spark, Iceberg
• Uses ADRs and collaborative architectural decision‑making

This is an opportunity to get in at the perfect time, work on one of the most technically ambitious AI deployments ever, learn from a team of A Players and exited founders, grow with the company and get equity.

Package with strong VSOP opportunity.