Multitude Insights
Technology
PrincipalDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Data Engineer at Multitude Insights. Skills: Data infrastructure, Data platform, Data modeling, Data quality. Architect core data infrastructure. Maintain core data infrastructure”
Industry & Context.
What They're Looking For.
Must Have
10+ years data engineering experience, Significant senior/staff/principal experience, Deep expertise data pipeline design, Track record owning complex infrastructure, Experience data modeling at scale, Experience data ingestion at scale, Experience data transformation at scale, Experience orchestration at scale, Proficiency in SQL, Experience modern data warehousing, Experience establishing data quality frameworks, Experience establishing observability frameworks, Experience setting technical direction, Communication skills, Make complex architecture decisions legible
Nice to Have
Startup experience strongly preferred, Mission-critical environment experience preferred, CI/CD pipelines experience a bonus, Cloud data infrastructure experience a bonus
What You'll Do.
Architect core data infrastructure
Maintain core data infrastructure
Design data pipelines
Design data warehousing
Build data warehousing
Design data ingestion
Design data transformation
Build data transformation
Design orchestration systems
Build orchestration systems
Own data platform scalability
Own data platform reliability
Own data platform security
Ensure high-quality data access
Establish data engineering best practices
Establish data modeling best practices
Establish pipeline design best practices
Establish observability patterns best practices
Drive data quality initiatives
Drive observability initiatives
Partner with engineering teams
Partner with product teams
Partner with analytics teams
Understand data needs
Mentor engineers on data principles
Mentor engineers on data patterns
Contribute to team development
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Work with VP Engineering; Work with product stakeholders; Work with analytics stakeholders
Communication Scope
Technical communication; Architecture decision communication
Full Job Description
ABOUT MULTITUDE INSIGHTS Multitude Insights builds modern tools for public safety agencies. Our flagship product, BLTN, is a real-time, AI-powered bulletin sharing platform that replaces the legacy email workflows police departments have relied on for decades. By enabling officers and analysts to easily create, search, and link bulletins across agencies, we’re turning static documents into actionable intelligence, faster, safer, and more connected. We’re a venture-backed team of engineers, public safety professionals, and veterans working closely with law enforcement customers across the country. Our mission is to give the people who keep us safe the tools they actually need. THE ROLE We’re looking for a Principal Data Engineer to design, build, and maintain the core data infrastructure that powers BLTN and the broader Multitude platform. This isn’t just a pipeline job, you’ll be the primary technical authority on all things data, shaping the architecture that enables reliable, high-quality data access across the organization. You’ll work closely with the VP of Engineering, product, and analytics stakeholders to translate real-world data needs into robust, scalable solutions, while setting the standards and patterns that the rest of the engineering team builds on. RESPONSIBILITIES • Design & Build: Architect and maintain the company’s core data infrastructure, including pipelines, warehousing, ingestion, transformation, and orchestration systems. • Own the Data Platform: Take end-to-end responsibility for the scalability, reliability, and security of the data platform ensuring high-quality data is accessible across the organization. • Set the Standard: Establish and own data engineering best practices, including data modeling, pipeline design, and observability patterns that the broader team can build on. • Champion Data Quality: Drive data quality and observability initiatives across the platform, ensuring stakeholders can trust the data they rely on. • Collaborate
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