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Seasonal Foundry Pattern Maker Jobs (NOW HIRING)

NC · On-site

... seasonal resort and country club apparel, sophisticated classics, casually refined tailored ... Microsoft Foundry (Azure AI Foundry) - working knowledge of the model catalog and RAG/agent ...

... Azure Foundry, Power Apps and related GenAI platforms. * Design and document enterprise-grade AI ... Define and maintain AI solution patterns, architecture standards, and best practices to guide ...

New

... Foundry in South Pittsburg, TN. His scrappy, hardworking spirit continues to lead us today. As a ... Curiosity about both our products and our guests--noticing patterns, asking "why," and using those ...

... Foundry in South Pittsburg, TN. His scrappy, hardworking spirit continues to lead us today. As a ... Curiosity about both our products and our guests-noticing patterns, asking "why," and using those ...

Showing results 41-60

Seasonal Foundry Pattern Maker information

See salary details

$33.5K

$77.4K

$126K

How much do seasonal foundry pattern maker jobs pay per year?

As of Aug 22, 2026, the average yearly pay for seasonal foundry pattern maker in the United States is $77,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $86,000.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Foundry Pattern Maker vs Permanent Foundry Pattern Maker?

AspectSeasonal Foundry Pattern MakerPermanent Foundry Pattern Maker
CredentialsTypically requires high school diploma or equivalent, with on-the-job trainingSame as seasonal, often with additional certifications in pattern making or CAD
Work EnvironmentFoundry facilities, often seasonal peaksYear-round foundry operations
Industry UsageUsed during peak casting seasonsConsistent employment in foundries
Search & ComparisonOften compared for seasonal vs permanent roles in foundry work

Seasonal Foundry Pattern Makers work primarily during peak casting seasons, focusing on creating patterns for metal molds. Permanent Foundry Pattern Makers work year-round, maintaining ongoing pattern production. Both roles require similar skills and certifications, but seasonal positions are temporary, while permanent roles offer continuous employment.

More about Seasonal Foundry Pattern Maker jobs

What cities are hiring for Seasonal Foundry Pattern Maker jobs?

Cities with the most Seasonal Foundry Pattern Maker job openings:

What are the most commonly searched types of Foundry Pattern Maker jobs?

The most popular types of Foundry Pattern Maker jobs are:

What states have the most Seasonal Foundry Pattern Maker jobs?

States with the most job openings for Seasonal Foundry Pattern Maker jobs include:

What job categories do people searching Seasonal Foundry Pattern Maker jobs look for?

The top searched job categories for Seasonal Foundry Pattern Maker jobs are:

Infographic showing various Seasonal Foundry Pattern Maker job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $77,376 per year, or $37.2 per hour.

Lead Principal Data Engineer

Peter Millar

NC • On-site

Full-time

Re-posted 14 days ago


Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
Peter Millar was founded in 2001 with a single cashmere sweater offered in 24 colors. Based in Raleigh and Durham, North Carolina, the American lifestyle brand has grown to include luxury performance sportswear, seasonal resort and country club apparel, sophisticated classics, casually refined tailored clothing and sartorial accessories.
We strive to capture timeless style upgraded with signature innovations, in designs that are in tune with modern life. We embrace working hard, being kind and doing right by our customers, aiming to set a higher standard for the apparel industry.
The Lead / Principal Data Engineer is the technical owner of Peter Millar's modern data platform, responsible for the architecture, engineering standards, and production operation of our Microsoft Fabric and OneLake environment. This role brings data engineering and architecture in-house owning the medallion (bronze/silver/gold) architecture, CI/CD standards, and the relationship with outsourced engineering partners, while establishing the AI-ready data foundation on which analytics, data science, and generative AI depend.
ESSENTIAL FUNCTIONS:
Platform Architecture & Ownership
  • Own the end-to-end architecture of the Microsoft Fabric environment, including Lakehouse and Warehouse design, the medallion (bronze/silver/gold) pattern, and Direct Lake semantic datasets.
  • Design and govern OneLake as the single, organization-wide data lake, managing domains, shortcuts, data mirroring, and Delta Lake/Parquet storage standards.
  • Own data ingestion and transformation at scale using Fabric Data Factory pipelines, Dataflows Gen2, and Spark notebooks.
  • Define and enforce engineering standards: Git-based source control, CI/CD and deployment pipelines, environment promotion, and code review.

Reliability, Performance & Cost
  • Establish monitoring, alerting, and observability across pipelines; ensure SLAs for data freshness and availability.
  • Optimize Fabric capacity units, and storage layout, for both performance and cost.
  • Implement data quality, lineage, and automated testing frameworks across the platform.

AI-Ready Foundation & GenAI Enablement
  • Structure governed, well-modeled data in OneLake to serve as grounding for generative and agentic AI use cases.
  • Partner with the AI Engineering Manager to integrate Azure AI services and Microsoft Foundry (formerly Azure AI Foundry) into production data workflows, including retrieval (RAG) pipelines over OneLake.
  • Implement security and governance controls, row/column-level security and PII handling, required for AI at scale.

Leadership & Vendor Management
  • Direct and set the technical agenda for outsourced engineering partners, shifting them from running the platform to extending it on scoped, time-bound projects.
  • Serve as technical hiring manager and interviewer for subsequent engineering hires; mentor junior analytics and data engineers.
  • Capture and retain institutional knowledge of our architecture and design patterns in-house.

TECHNICAL COMPETENCIES (REQUIRED):
  • Microsoft Fabric - deep, hands-on experience with Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Spark notebooks, and Direct Lake.
  • OneLake - demonstrated experience designing and governing OneLake, including domains, shortcuts, mirroring, and Delta Lake/Parquet standards.
  • Azure AI - experience integrating Azure AI services / Azure OpenAI into data and retrieval pipelines.
  • Microsoft Foundry (Azure AI Foundry) - working knowledge of the model catalog and RAG/agent grounding for GenAI workloads (applicable to this role).
  • Azure data platform - Synapse, Azure Data Lake Storage, Azure SQL, Service Bus, and Spark in production.
  • Engineering practice - strong CI/CD, Git-based source control, and infrastructure-as-code.

DESIRED EDUCATION AND EXPERIENCE:
  • 8+ years in data engineering / data architecture, including 2+ years in a lead or principal capacity.
  • Expert SQL and Python; strong Spark (PySpark) experience.
  • Proven track record building and operating a Microsoft Fabric / OneLake platform in production (Fabric-specific experience strongly preferred and commands a premium).
  • Experience managing or directing outsourced/consulting engineering teams.
  • Exposure to Microsoft Purview, data governance, and security/compliance frameworks.
  • Bachelor's in Computer Science, Engineering, or related field; Master's or relevant Microsoft certifications (e.g., Fabric Analytics Engineer, Azure Data Engineer Associate) a plus.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Peter Millar & G/FORE are equal opportunity employers. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Both Peter Millar & G/FORE prohibit discrimination and harassment of any type and they afford equal employment opportunities to employees and applicants without regard to race, color, religion, gender, age, national origin, genetic information, marital status, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law. Both Peter Millar & G/FORE comply with applicable state, county and local laws governing non-discrimination in employment.