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
Minimum Qualifications
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)
Preferred Qualifications
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
Great Reasons to work for Generac
Competitive Benefits: Health, Dental, Vision, 401k and many more
Make a positive impact. Generac has always been community-minded and dedicated to giving back. The company proudly offers a Volunteer Time Off program, inviting team members to participate in charitable volunteer opportunities on company time.
Build technology that matters: Be part of Generac’s transformation into an energy technology leader—designing cloud and data platforms that support cleaner, more sustainable power solutions at scale, including generators, battery storage (BESS), and microgrid systems.
Own meaningful architecture at scale: This role isn’t maintenance-only—you’ll lead re‑architecture efforts for high‑volume, industrial IoT and telematics data systems, shaping the future of Generac’s Industrial Cloud and Generac Link platforms.
Work with strong engineering talent in a collaborative culture: Join a team known for deep technical expertise, thoughtful design discussions, and a startup‑like mindset within a large, stable organization—where autonomy, curiosity, and collaboration are truly valued.
Grow your impact and influence: As the senior data architecture leader, you’ll mentor engineers, influence platform strategy, and expand your reach across product, ML, and engineering teams while helping define how data powers Generac’s next generation of services.
#LI-BB1
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”
