As customers grapple with the challenges of e-commerce fulfillment with ever increasing need to handle more volume, variety and variation with ever decreasing delivery time expectations, Dematic’s growth directly depends on bringing the next generation of intelligent supply chain solutions to market. These solutions include flexible order fulfillment, warehouse management systems, warehouse and supply chain execution systems, and supply chain optimization. Our Enterprise Data Platform (EDP) is a foundational pillar of this transformation, enabling real-time insights, predictive intelligence, and AI-driven decision-making across Dematic’s intelligent supply chain solutions.
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

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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 Dematic’s 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 leaders—providing 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:

• Bachelor’s or Master’s 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 services—GCP 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 skills—able 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.