Senior Data Architect

Senior Data Architect

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.

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.

Pay Transparency:

Generac is committed to fair and equitable compensation practices. The salary range for this role is $100,300-160,500 USD. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including short-term and long-term incentives.

This position includes a comprehensive benefit package that includes 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 and 401(k) retirement benefits.

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.