Principal Engineer II — Data Engineering

Location: Plano, Texas, based at hirify.global Motor North America Headquarters

Company

hirify.global is a global automotive company developing mobility solutions and digital supply chain capabilities.

What you will do

• Define the technical vision and architecture for large-scale supply chain data platforms built on AWS, Databricks, and Azure.
• Lead data solution design and delivery across discovery, implementation, deployment, and operational support for big data and AI/ML workloads.
• Set technical direction across multiple development teams, coordinate priorities and dependencies, and directly lead teams when needed.
• Partner with product, operations, architecture, platform, and supply chain stakeholders to create technical roadmaps and execution plans.
• Establish cloud-native engineering, DevSecOps, observability, reliability, governance, security, and software delivery standards.
• Define responsible AI-assisted engineering practices, run time-boxed experiments, mentor technical staff, and improve delivery quality and productivity.

Requirements

• 8+ years designing and delivering complex enterprise data and software solutions, including large-scale transformation initiatives.
• 5+ years of deep experience with cloud-native data architecture on AWS, Databricks, and Azure, distributed systems, modern integration patterns, and scalable platform design.
• 5+ years delivering modern data solutions with Python, PySpark, SQL, Databricks, Apache Spark, AWS Redshift, streaming frameworks, DevOps, and platform-engineering practices.
• Expertise in data architecture, distributed data processing, domain-driven design, and technical decision-making for scalable data platforms.
• Experience with streaming and event-driven systems including Kinesis and Kafka/MSK, as well as data governance, security, observability, reliability, and operational excellence.
• Experience designing and implementing AI/ML solutions covering data preparation, model integration, inference workflows, and automation, with familiarity with SageMaker and Bedrock.
• Experience integrating data, analytics, and AI/ML capabilities into production-grade enterprise platforms and applying cost optimization to architecture and cloud decisions.
• Demonstrated ability to set technical direction, influence across teams, mentor senior engineers and technical leads, and communicate strategy and tradeoffs to technical and non-technical audiences.
• Experience leading or coordinating multiple development teams, aligning roadmaps, managing dependencies, and working in cross-functional fusion teams where engineering and operations share priorities.
• Demonstrated use of AI as an engineering assistant and ability to establish appropriate quality, security, review, governance, and enablement standards.

Nice to have

• Experience with globally distributed teams, asynchronous delivery, and large-scale transformation initiatives.
• Experience with supply chain, manufacturing, logistics, or fulfillment platforms at enterprise scale.
• AWS or Databricks certifications, including Solutions Architect or Data Analytics Specialty certifications.
• SAFe or other agile delivery certifications.
• Experience developing productivity tooling, building LLMs or AI agents, or introducing emerging technologies into enterprise production environments.

Culture & Benefits

• Team-oriented, flexible, respectful work environment with an emphasis on accountability, curiosity, experimentation, inclusion, and continuous learning.
• Professional development programs and tuition reimbursement.
• Comprehensive health care and wellness plans, paid holidays, and paid time off.
• 401(k) savings plan with company match and an annual retirement contribution, where applicable.
• Vehicle purchase and lease programs, family support referral services, and tax-advantaged accounts.
• Relocation assistance may be available; employment requires existing US work authorization, and hirify.global does not provide immigration sponsorship or other work authorization support.