Senior Data Architect
About The Position
As a Senior Data Architect on Generac’s Industrial Cloud team, you will play a critical role in designing and evolving cloud-scale data platforms that power our industrial IoT solutions. This role sits at the intersection of architecture, data engineering, and platform strategy—owning the design of highly available, high‑volume data systems that ingest and serve telematics data from industrial energy assets in the field. At Generac, we are committed to building sustainable, cleaner energy technology at scale. You’ll join a collaborative, high‑impact team working on cloud-hosted services that monitor and optimize large‑scale generators, battery storage, and microgrid systems—software that is used, valued, and makes a real difference.
Requirements
- 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)
Nice To Haves
- 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‑level expertise with 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 and maintaining 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
Responsibilities
- 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, and maintain production 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, identify inefficiencies, 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
Benefits
- Health, Dental, Vision, 401k and many more
- Volunteer Time Off program
- medical, dental and vision plans
- life, long-term disability, flexible spending and health savings accounts
- accrued paid time off
- 8 paid Holidays
- 2 floating holidays
- 401(k) retirement benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
