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Manufacturing, Commercial Equipment, Industrial IoT

Senior Data Engineer

Ripon, Wisconsin, United StatesOnsiteFull TimeSeniorPosted 2 months ago

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Role summary

The Enterprise Analytics Center of Excellence is seeking a Senior Data Engineer to build and operate a next-generation analytics stack centered on Snowflake (AWS) and Sigma. This role involves designing and maintaining scalable data pipelines, migrating existing pipelines, and creating governed semantic views using dimensional modeling best practices. The engineer will implement RBAC frameworks, support metadata management, and ensure compliance with governance standards. Responsibilities also include delivering clean data sets for analytics tools like Sigma, optimizing query performance, and staying abreast of industry trends in data engineering and analytics, including AI/ML and NLP-powered BI. A Bachelor's degree in computer science or equivalent experience is required, along with expertise in Snowflake, AWS, data modeling, ETL/ELT, governance, SQL, and Python.

The Enterprise Analytics Center of Excellence (CoE) is building the next-generation analytics stack centered on Snowflake (AWS) and Sigma. We are looking for a Sr Data Engineer who will play a critical role in shaping and operating this modern architecture. This role is not just about maintaining pipelines. It’s about helping lead the way in adopting cutting-edge analytics practices, scaling governed data models, and exploring new trends in the industry.

  • Ingestion & Transformation
  • Design, build, and

maintain

scalable data pipelines in
Snowflake OpenFlow

and other Snowflake-native services.

- Migrate existing
Dataiku pipelines

to Snowflake, reducing complexity and cost.

  • Continuously improve workflows for performance, reliability, and efficiency.
  • Semantic Modeling & Views
  • Create and

maintain

Snowflake semantic views

that serve as the governed data layer for analytics.

- Apply
dimensional modeling

best practices to ensure consistency and reusability across business domains.

- Enable
role-based semantic views

for Finance, Operations, and other enterprise functions.

  • Governance & Security

- Implement and maintain
RBAC frameworks

using
Active Directory roles/groups

.

- Support
metadata management and cataloging

surfaced directly in
Sigma

.

  • Ensure pipelines and models

comply with

enterprise data governance standards.

  • Analytics Enablement

- Deliver clean, governed data sets for
Sigma dashboards, Ask Sigma (NLP), Write-Back, and embedded analytics

.

  • Monitor and tune query performance to

optimize

cost and speed.

  • Provide technical depth to ensure analytics can scale securely and efficiently across the enterprise.
  • Innovation & Continuous Improvement

- Stay on top of the
latest trends in data engineering and analytics

(semantic layers, LLM-powered BI, write-back, real-time pipelines, etc.).

- Bring
**new ideas

and emerging technologies**

to ALS for evaluation and potential adoption.

  • Automate testing, monitoring, and deployment processes to keep the stack modern and efficient.

Education and Experience:

Bachelor’s degree in computer science or related field,

required

.  Equivalent experience may be considered

Skills and Abilities
:

  • **Snowflake

expertise**

: SQL, OpenFlow, Tasks/Streams, performance tuning, semantic views.

  • Cloud experience

: Strong hands-on with
AWS

(S3, IAM, Glue, Lambda a plus).

  • Data modeling

: Dimensional modeling, facts/dimensions, semantic design.

  • ETL/ELT engineering

: Proven ability to build and

optimize

large-scale pipelines.

  • Governance & Security

: AD/LDAP integration, RBAC, cataloging.

  • Programming

: SQL

required

; Python

required

- Curiosity and enthusiasm for
**cutting-edge

analytics tools and approaches**

.

Preferred Skills:

- Experience migrating
Power BI models/reports

into Snowflake + Sigma.

- Familiarity with
Sigma features

: Ask Sigma, Write-Back, Embedded Analytics.

- Exposure to
Dataiku

(to support migration away from it).

  • Interest

in
AI/ML-powered analytics and NLP-based BI interfaces

.

Travel:

  • Up to

25% travel

Standard and Physical Requirements:

  • Position involves sitting

long periods

, standing, manual dexterity, stooping, bending and minimal lifting

Alliance Team Members Demonstrate DRIVE:

  • Dedicated

: Follows through on commitments. Strong say/do.

  • Respectful

: Acts with integrity and

values

diverse perspective.

  • Innovative

: Always looking for a better way;

leads

change

.

  • Versatile

: Adapts quickly to changing circumstances. Demonstrates agility.

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