Data Platform Engineer

KP LLC•West Sacramento, CA

2h•Remote

About The Position

KP LLC is more than just a company. We have stood the test of time for over 90 years by combining our traditional services with the latest online technology. We continue to build on this foundation, growing our team with the same core values that made us who we are. KP is looking for a Data Platform Engineer. If you’re seeking a meaningful role where you can make a real difference, we welcome you to jump aboard and join our dynamic team! The Data Platform Engineer will be instrumental in our data transformation journey managing and evolving our data infrastructure. This is a hands-on SQL Server operations role, owning the day-to-day reliability of on-prem SQL Server environments while helping evaluate and guide the organizations transition toward cloud-based data services that better support the business. This role bridges the gap between traditional database administration and modern data engineering. It requires strong SQL skills, a proactive mindset, and an interest in learning modern data and cloud technologies over time. While data platforms are your primary focus, this role also contributes to broader IT initiatives typical of a small, growing team. Please note: This position is remote. The successful candidate must be able to periodically commute to one of our facilities in Riverton, Utah; Sacramento, California; or Renton, Washington. KP Corp does not offer sponsorship for work authorizations or citizenship at this time.

Requirements

Bachelor’s Degree/Bachelor’s Seeking with Technical Competencies and 3 years of industry experience OR 5 years of industry experience
Strong experience in Microsoft SQL Server (design, operations, optimization, and administration.
Strong troubleshooting skills across database, OS and application layers
Familiarity with cloud data platforms (such as Azure SQL Database, Azure SQL Managed Instance, Databricks, or similar technologies), with the ability to evaluate, learn, and recommend appropriate cloud options as the platform evolves
Proficient with scripting languages, such as PowerShell, Python, or Bash
Understanding of data governance, access control, security frameworks, and compliance requirements in cloud environments
Comfortable working independently while collaborating closely within a small, evolving environment and team
Experience creating and following change control processes; familiarity with ITIL
Experience in supporting infrastructure in regulated environments

Nice To Haves

Experience working in a manufacturing environment is highly desirable
Relevant Microsoft or cloud certifications (Azure Data Engineer, SQL Server, or Fabric)

Responsibilities

Own the day-to-day operation, reliability, and performance of on-premises SQL Server environments
Perform administration tasks including monitoring, patching, backup/recovery (BCDR), security, and lifecycle management
Conduct performance tuning and optimization, proactively identifying risks and improvement opportunities
Develop and maintain automation scripts and tooling for routine operations and monitoring
Troubleshoot issues across database, operating system, and application layers
Assess current-state data platforms and recommend practical, phased approaches for introducing cloud-based data services (such as Azure SQL, Databricks, or similar technologies) when they provide clear business value
Contribute to cloud enablement and data platform strategy
Support migration and modernization initiatives as appropriate
Evaluate emerging data and analytics technologies and recommend fit-for-purpose solutions
Collaborate with business teams to understand data requirements, reporting needs, and usage patterns that inform platform design and optimization.
Improve how data is modeled, accessed, and consumed across the organization, enabling more efficient analytics and operational workflows.
Contribute to broader IT initiatives including infrastructure, automation, documentation, and process improvements typical of a small, collaborative IT team.
Participate in solution reviews, architectural discussions, and implementation planning to support high-quality technical decision-making.