Data Architect

Posted Yesterday
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Menomonee Falls, WI, USA
In-Office
Senior level
Food
The Role
Designs, builds, and owns the company’s cloud data platform using Snowflake, Fivetran, and related tools. Responsibilities include dimensional modeling, data ingestion, security, CI/CD, orchestration, data quality, governance, semantic layers, historical data migration, and pipeline support. The role partners with integration and business teams on ERP, manufacturing, connected-equipment, and application data while documenting architecture and coaching colleagues.
Summary Generated by Built In
Company Description

Join the Alto-Shaam Team 

Virtually Tour our Facility:https://app.cloudpano.com/tours/piGHjskWR

Whether you're just beginning your career or have years of experience—you've come to the right place. Working at Alto-Shaam means you’re part of a passionate team of people all working together towards one common goal. We want you on our team, because you believe in getting better every day. That kind of continuous improvement is what leads to promotions, pay raises, and company-wide innovation.

Since 1955, Alto-Shaam has pioneered industry-leading foodservice equipment that anticipates and responds to industry needs. Our solutions have helped generations of foodservice professionals enhance their menus while providing a greater return on their investment.

Job Description

Reports to the VP of Technology. Designs and builds Alto-Shaam's cloud data platform as a hands-on role: makes the design decisions for how data is modeled, secured, tested, promoted to production and delivered to the business, and then builds them. Alto-Shaam has aligned on a data platform consisting of Fivetran, Snowflake and Claude, and now seeks a qualified individual to own, deploy, and build out that platform. As the first dedicated data role on the platform, also handles day-to-day pipeline monitoring and data support, and helps shape how manufacturing execution systems, connected-equipment data and new applications fit together as the company expands.

The ideal candidate for a Data Architect would be able to do the following:

  1. Designs and builds the platform's data model, including dimensional models and conformed dimensions shared across finance, manufacturing, sales and service (customer, item, location, fiscal calendar).
  2. Documents design decisions as architecture decision records so the platform's design is written down and repeatable.
  3. Owns ingestion from Oracle Fusion Cloud, CRM, connected-equipment data and file-based feeds, including connector setup, monitoring and pipeline health.
  4. Designs role-based access and data security, dev/test/production environments, CI/CD and orchestration, and warehouse cost management.
  5. Puts data quality and governance in place early: data contracts and automated testing (for example, dbt tests), lineage, and master and reference data practices.
  6. Builds and extends the semantic layer that dashboards and AI tools query directly.
  7. Leads the migration of historical data from legacy business systems into the new platform, reconciling it with current ERP data and documenting legacy business rules and lineage.
  8. Translates business requirements into data models and presents design trade-offs to technical and non-technical stakeholders.
  9. Partners with the integration team on how data moves between systems (Oracle Integration Cloud or similar) and helps design the data and integration approach for new manufacturing systems, connected-equipment data and future applications.
  10. Coaches colleagues who do part-time data work and sets the standards, documentation and onboarding materials for future team members.

 

Qualifications

For a candidate to be successful as a Data Architect they must have:

  • Bachelor's degree in Computer Science, Information Systems, Engineering or a related discipline, or equivalent experience, with 5–8 years (6+ preferred) in data engineering, analytics engineering or similar.
  • Demonstrated experience owning the design of a production data warehouse model spanning 3 or more source systems.
  • Expert SQL and strong Python; hands-on dimensional modeling (Kimball or similar) in production.
  • Production experience on a cloud data platform (Snowflake or similar, such as Databricks, Fabric or BigQuery) and with ELT and transformation tools (Fivetran, dbt or similar).
  • Experience with version control, CI/CD and automated data testing.
  • Oracle Fusion Cloud data experience (BICC and BI Publisher extracts, Fusion data structures, ideally Fusion Data Intelligence) or deep experience with another large ERP, and ERP finance or supply chain data modeling, is strongly preferred.
  • Manufacturing or MES data familiarity; semantic-layer tools (Snowflake semantic views, Cortex or similar); cloud services (AWS or similar) and integration platforms (Oracle Integration Cloud or similar); streaming, IoT or equipment telemetry data; cloud data platform certification (SnowPro Core or similar); and experience building data for AI and LLM consumers are desirable.
  • Strong communication skills, with the ability to explain technical trade-offs to non-technical leaders.

Additional Information

For more information about our benefits, job duties, and company values, go to

https://www.alto-shaam.com/en

Skills Required

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent experience
  • 5-8 years of experience in data engineering, analytics engineering, or a similar field
  • Experience owning the design of a production data warehouse model spanning at least three source systems
  • Expert SQL skills and strong Python skills
  • Hands-on production experience with dimensional modeling using Kimball or a similar methodology
  • Production experience with Snowflake or a comparable cloud data platform
  • Experience with ELT and transformation tools such as Fivetran and dbt
  • Experience with version control, CI/CD, and automated data testing
  • Oracle Fusion Cloud data experience, including BICC, BI Publisher extracts, Fusion data structures, or equivalent large ERP experience
  • ERP finance or supply chain data modeling experience
  • Manufacturing or MES data familiarity
  • Experience with semantic-layer tools such as Snowflake Semantic Views or Cortex
  • Experience with AWS or similar cloud services and Oracle Integration Cloud or similar integration platforms
  • Experience with streaming, IoT, or equipment telemetry data
  • Cloud data platform certification such as SnowPro Core
  • Experience building data for AI and LLM consumers
  • Strong communication skills and ability to explain technical trade-offs to non-technical leaders
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The Company
HQ: Menomonee Falls, WI
300 Employees
Year Founded: 1955

What We Do

Founded in 1955, Alto-Shaam is the inventor of the original Cook and Hold oven that revolutionized low-heat cooking and the commercial cooking industry. Today, Alto-Shaam features a full line of Cook and Hold ovens, convection ovens, combi ovens, chillers, warming cabinets and drawers, heated buffet and display cabinets, merchandisers, fryers, and rotisseries. Whether you’re preparing haute cuisine in a top restaurant, health-conscious meals in a health care facility, or tater tots in the local school, the equipment must provide a great return on investment for the foodservice program to be successful. At Alto-Shaam, we specialize in creating systems and equipment that are the core of successful and profitable foodservice programs in many different industries. While many Alto-Shaam Cook & Hold ovens still take a little bit of effort and electricity to make an amazing prime rib, many chefs are using this commercial kitchen staple oven for steaks, vegetables, braising short ribs, baking cheesecakes, proofing bread dough or reheating convenience food items. With no flavor carryover, a very small electricity draw, no exterior ventilation needed, the Cook & Hold can work all day, every day, with maximum efficiency.

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