Technical Director of Enterprise Data Platform
Technical Director of Enterprise Data Platform
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a Technical Director Enterprise Data Platform (EDP) to serve as the architectural lead for our EDP initiative. This individual will partner closely with platform engineering data engineering product teams OR/Simulation and AI/ML stakeholders to shape a cloud-native scalable and interoperable data architecture that powers everything from operational visibility to autonomous warehouse control.
What we offer:
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
The base pay range for this role is estimated to be $X-Y at the time of posting. Final compensation will be determined by various factors such as work location education experience knowledge and skills.
Tasks and Qualifications:
What You Will Do in This Role:
- Define and drive the technical architecture for Dematics Enterprise Data Platform across cloud (primarily GCP) edge and hybrid environments.
- Lead architectural decision-making related to data modeling storage formats ingestion pipelines real-time processing schema evolution and governance across Bronze Silver and Gold layers.
- Partner closely with platform engineers product managers OR/Simulation and AI/ML teams to ensure architecture supports both current analytics needs and long-term autonomy goals.
- Collaborate with internal and external stakeholders (including Systems Engineering Simulation Product and Cloud vendors) to ensure cohesive integration across physical automation systems and software services.
- Establish best practices for interoperability scalability performance and vendor-agnostic design.
- Guide architectural reviews technical roadmaps and technology selection across the platform ecosystem.
- Act as a strategic peer to data and software engineering leadersproviding hands-on guidance and architectural oversight without direct line management responsibility.
- Mentor teams in data architecture principles scalable design patterns cloud-native and AI engineering practices.
What We Are Looking For:
- Bachelors or Masters degree in Computer Science Engineering or related technical field.
- 10 years of experience in software/data engineering with deep expertise in data architecture at scale.
- Proven experience designing and evolving modern data platforms using cloud-native servicesGCP strongly preferred (e.g. BigQuery Pub/Sub Dataflow GKE Dataplex).
- Hands-on experience with modern lakehouse architectures and storage formats such as Delta Lake Apache Iceberg or Apache Hudi.
- Deep knowledge of real-time and batch data processing frameworks (e.g. Kafka Spark Flink).
- Practical experience with data interoperability cost optimization and vendor management across big data ecosystems.
- Experience building data platforms that support analytics GenAI AI/ML model training and production-grade inference.
- Strong understanding of metadata schema evolution and lineage tracking in enterprise environments.
- Excellent collaboration and communication skillsable to operate effectively across technical product and executive audiences.
- Ability to drive architectural vision while remaining hands-on and pragmatic in problem-solving.
What We Offer:
- A strategic leadership role in shaping the future of intralogistics through data and AI.
- Opportunity to work remotely with global teams.
- Competitive compensation and benefits.
- Access to cutting-edge cloud and AI technologies through industry-leading partnerships (Google Nvidia etc).
- Career development in a fast-growing mission-driven software and automation organization.
Required Experience:
Director
Employment Type
Full Time
