The pay range is $168,000.00 - $303,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at ;br>
JOIN TARGET AS A PRINCIPAL ENGINEER - DATA PLATFORMAbout us:Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
The Principal Engineer - Data Platform is responsible for shaping the technical direction of Target's enterprise data platform. This role operates with broad scope and high impact across data platform engineering, AI/ML infrastructure, and modern data consumption experiences.
You will be a hands-on engineer who designs, builds, and evolves scalable platform capabilities while influencing architectural decisions across teams. Your work will span large-scale data processing, GPU-enabled AI/ML infrastructure on Kubernetes, and emerging GenAI and agentic AI approaches to data access, automation, and insight generation.
Success is defined by technical excellence, system-level thinking, and the ability to turn ambiguity into durable, extensible platform solutions.
About this team:
The Enterprise Data Platform Engineering team builds the foundational capabilities that power data engineering, data analytics, AI/ML, and operational use cases across Target. We are evolving toward a highly automated, self-service, and AI-enabled platform that supports enterprise scale and rapid innovation.
As a Principal Engineer, you will...
- Provide technical leadership and design: Act as a technical authority for the data platform, shaping scalable, secure, and reliable architectures and influencing design decisions across multiple teams.
- Drive platform scalability and reliability: Design and operate large-scale distributed data systems with a focus on performance, cost efficiency, observability, and operational automation across hybrid (cloud and on-prem) infrastructure.
- Lead AI/ML and GPU infrastructure: Architect and evolve Kubernetes-based AI/ML platforms, including GPU-enabled workloads, and ensure strong integration with the broader data and AI / ML Platform.
- Advance agentic AI innovation: Explore and productionize GenAI capabilities for data-centric use cases such as SQL generation, data discovery, troubleshooting, and platform automation, with appropriate guardrails.
- Shape next-generation data consumption: Define modern data access patterns including semantic modeling, visualization, APIs, and seamless integration with data consumers.
- Lead through hands-on engineering and influence: Write production-quality code and infrastructure, mentor through design and review, and partner closely with product and engineering stakeholders.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:- 4-year degree in Computer Science, Engineering, or equivalent experience
- 10+ years of experience building large-scale software, data, or distributed systems
- Deep expertise in distributed data platforms and modern data architectures
- Strong hands-on experience operating data platforms in both cloud and on-prem environments, with a focus on reliability, scalability, and operational excellence
- Proven experience with query engines and query optimization, including performance tuning, cost optimization, and scaling analytical workloads
- Strong background in cloud-native architectures and Kubernetes-based infrastructure
- Hands-on experience with AI/ML infrastructure, including GPU-enabled workloads
- Experience designing high-performing APIs, platform abstractions and self-service data capabilities
- Proven ability to influence technical direction without direct authority
- Passion for emerging technologies and how they are applied to solve real-world data problems
- Strong communication skills and a systems-thinking mindset
- Team player who understands concepts of teamwork and team effectiveness
- Has excellent verbal, written, and presentation communication skills to convey complex technical solutions clearly to an organization
This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.
Benefits EligibilityPlease paste this url into your preferred browser to learn about benefits eligibility for this role: _F
Americans with Disabilities Act (ADA)In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 03/29/2026
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