Data Architect III

Generac Power Systems•Waukesha, WI

About The Position

The Data Architect III designs, develops, and implements scalable enterprise data architectures that support business operations, analytics, reporting, artificial intelligence, and digital transformation initiatives. This senior technical contributor is responsible for data modeling, integration architecture, data governance enablement, and cloud data platform design across enterprise systems. The role partners with business stakeholders, enterprise architects, data engineers, and technology teams to ensure data solutions are secure, scalable, governed, and aligned with business strategy. On Generac’s Industrial Cloud team, the Data Architect III designs and evolves cloud-scale data platforms for industrial IoT solutions. The 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. The position contributes to cloud-hosted services that monitor and optimize generators, battery storage, and microgrid systems. It will lead re-architecture efforts for high-volume industrial IoT and telematics data systems and help shape Generac’s Industrial Cloud and Generac Link platforms.

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 is 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, such as GDPR.
Enterprise-level expertise with Microsoft SQL Server or similar relational databases.
Hands-on experience with at least one NoSQL database, such as a 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 conceptual, logical, and physical data modeling.
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 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.
Explain complex technical solutions to technical and non-technical audiences, including leadership.
Influence platform strategy across product, ML, and engineering teams.