Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Menomonee Falls, WI, United States
Actively hiring, first seen by us todayWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and build the platform's dimensional data model and shared conformed dimensions
Own ingestion from Oracle Fusion, CRM, connected-equipment and file feeds, and monitor pipeline health
Set up role-based access, environments, CI/CD, orchestration and warehouse cost controls
Build and extend the semantic layer used by dashboards and AI tools
Lead migration of historical data from legacy systems and reconcile it with ERP data
Designs and builds the platform's data model, including dimensional models and conformed dimensions shared across finance, manufacturing, sales and service
Owns ingestion from Oracle Fusion Cloud, CRM, connected-equipment data and file-based feeds, including connector setup, monitoring and pipeline health.
Designs role-based access and data security, dev/test/production environments, CI/CD and orchestration, and warehouse cost management.
Builds and extends the semantic layer that dashboards and AI tools query directly.
Leads the migration of historical data from legacy business systems into the new platform, reconciling it with current ERP data
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.
Experience with version control, CI/CD and automated data testing.
Strong communication skills, with the ability to explain technical trade-offs to non-technical leaders.
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.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 0
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Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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).
- 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.
- 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.
- Designs role-based access and data security, dev/test/production environments, CI/CD and orchestration, and warehouse cost management. - Puts data quality and governance in place early: data contracts and automated testing (for example, dbt tests), lineage, and master and reference data practices. - Builds and extends the semantic layer that dashboards and AI tools query directly.
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:
- Documents design decisions as architecture decision records so the platform's design is written down and repeatable. - Owns ingestion from Oracle Fusion Cloud, CRM, connected-equipment data and file-based feeds, including connector setup, monitoring and pipeline health. - Designs role-based access and data security, dev/test/production environments, CI/CD and orchestration, and warehouse cost management.
- 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.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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:
For a candidate to be successful as a Data Architect they must have:
For more information about our benefits, job duties, and company values, go to
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.
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Menomonee Falls, WI, United States
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