Target · 3 days ago
Principal Engineer - Data Platforms (On prem, cloud, AI/ML, Infra)
100 Mathilda Place,Ste 100 Sunnyvale,CA 94086-6017
Full-time
Hybrid
Lead/Staff
$163K/yr - $353K/yr
10+ years expTarget is a company focused on helping all families discover the joy of everyday life. The Principal Engineer – Data Platform will shape the technical direction of Target’s enterprise data platform, focusing on scalable platform capabilities and AI/ML infrastructure.
CommunitiesE-CommerceRetailShopping
Responsibilities
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
Qualification
Required
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
Benefits
Comprehensive health benefits and programs
Medical
Vision
Dental
Life insurance
401(k)
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation
Company
Target
Target is a retailing company providing access to a wide selection of products such as furniture, electronics, toys, and others.
10001+ employees
H1B Sponsorship
Target has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (2)
Funding
Current Stage
Public CompanyTotal Funding
unknown2007-12-01Post Ipo Equity
1978-01-13IPO
Leadership Team
Brian Cornell
CEO
Jim Lee
EVP and Chief Financial Officer
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