Manager, Data and AI Engineering

Description

The team is building a next-generation autonomous data intelligence platform for supply chain operations. This manager role covers the full path from spotting high-value opportunities to designing, building and putting solutions into production that show measurable business results.

You will combine hands-on architecture and engineering with leading a high-performing team. The role involves working with business partners, turning operational problems into data and AI solutions, and moving quickly.

Responsibilities

• Design and build scalable data and AI platforms on Databricks and AWS using modern cloud-native engineering approaches.
• Build reliable ETL/ELT, streaming and CDC pipelines with tools such as Spark, Kafka, Delta Lake and AWS-native services.
• Support delivery of AI use cases, including RAG applications, AI agents, tool-calling workflows and data-driven web apps.
• Model data with Star Schema, Snowflake Schema and Data Vault patterns, chosen for each use case with attention to query performance, governance and extensibility.
• Put data quality frameworks, observability, alerting and monitoring in place to keep pipelines sound and production reliable.
• Build the data foundation for GenAI, agentic AI and advanced analytics, including RAG pipelines, vector search, knowledge graphs and multi-agent orchestration.
• Work with product, business, analytics and AI partners to turn requirements into secure, scalable, production-ready solutions.
• Plan resources, set priorities and run delivery across several concurrent initiatives.
• Mentor engineers, build technical skills across the team and foster accountability, innovation and continuous improvement.
• Give hands-on technical leadership on architecture, design reviews, implementation guidance and production readiness.
• Own data engineering projects end to end, from discovery and planning through execution and production rollout.

Requirements

• Master's or Bachelor's degree in Computer Science, Information Systems or equivalent experience.
• 10+ years in data engineering, software engineering or web application development, including at least 4 years in a leadership or engineering management role.
• You enjoy writing code, prototyping and building production systems alongside your team.
• Deep working knowledge of AWS, including S3, EC2, IAM, Lambda and API Gateway.
• Proven experience turning LLMs into autonomous agents that plan, use tools and carry out multi-step workflows.
• Proven deep expertise in Apache Spark, PySpark, Delta Lake and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.
• Nice to have: active Databricks certifications, such as Data Engineer Professional or Generative AI Engineer Associate.
• Nice to have: active AWS certifications, such as Certified Data Engineer, Associate or Solutions Architect, Professional.
• Nice to have: experience managing multi-functional teams that combine data engineers with front-end and back-end developers.
• Nice to have: knowledge of supply chain business processes across Plan, Make, Deliver and Services.

Conditions

Base salary range is 200,000 USD to 322,000 USD, set by location, experience and the pay of employees in similar roles.

Applications are accepted until at least October 27, 2026.

This is an existing vacancy.

The company uses AI tools in parts of its recruiting process.

The company is an equal opportunity employer and does not discriminate on protected characteristics.