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# Senior Data Architect

- **Company:** GENERAC POWER SYSTEMS INC
- **Location:** Waukesha, WI, United States
- **Experience:** Expert
- **Salary:** $100,300.0 - $160,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Code Review, Computer Programming, Databases, Data Architecture, Data Governance, Data Integrity, Data Warehousing, Relational Databases, Software Design Patterns, Python (Programming Language), Microsoft SQL Server, NoSQL, Performance Tuning, Windows PowerShell, Cloud Services, Transact-SQL, Scripting, Cloud Platform System, System Availability, Indexer, Data Lakes, Information Technology, Machine Learning Operations, Physical Data Models, Terraform, Data Pipelines, Microservices
- **Published:** August 9, 2026
- **Apply:** https://dejobs.org/x/x/5C221649B85E49D6A6D1290098E67A93/job/

## About the Role

* Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
 * 8+ years of experience working across the data tier, from design through development and production support
 * 5+ years of experience in a data architect role with strong grounding in enterprise data architecture concepts
 * Proven experience leading data architecture in production cloud environments (Azure preferred), * Experience working with high-speed, high-volume telematics or time-series data
 * Familiarity with Infrastructure as Code , preferably Terraform
 * Programming or scripting experience in Python, PowerShell, and/or T-SQL
 * Experience supporting or enabling AI/ML projects
 * Knowledge of data governance, data privacy, and compliance (e.g., GDPR)
 * Enterprise-levelexpertisewith Microsoft SQL Server or similar relational databases
 * Hands-on experience with at least one NoSQL database (e.g., key-value, document, graph, or column store)
 * Strong experience with data warehouse, data lake, and lakehouse design patterns
 * Experience designing andmaintaining data pipelines
 * Deep knowledge of data modeling (conceptual, logical, physical)
 * Strong understanding of performance tuning, indexing, and partitioning strategies
 * Passion for modern data architecture, microservices, and cloud-native data platforms
 * A naturally curious, growth-oriented mindset with a desire to mentor and elevate others
 * Excellent communication and interpersonal skills, with the ability to influence and collaborate across teams

## Description

* Define and own the architecture for cloud-based data solutions, ensuring scalability, reliability, and high availability
 * Lead data architecture discussions and collaborate closely with engineering, product, ML, and cross-functional stakeholders
 * Design, build, andmaintainproduction datastores supporting high-speed, high-volume industrial IoT and telematics data
 * Translate business and product requirements into conceptual, logical, and physical data models
 * Drive best practices for data reliability, performance tuning, partitioning, indexing, and data quality
 * Analyze how customers and systems use data,identifyinefficiencies, and propose architectural improvements
 * Coach and mentor engineers on data architecture best practices through design reviews, code reviews, and technical guidance
 * Clearly explain complex technical solutions to both technical and non-technical audiences, including leadership


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