Principal Data Engineer

Multitude Insights builds modern tools for public safety agencies, and they are seeking a Principal Data Engineer to design, build, and maintain the core data infrastructure for their platform. The role involves being the primary technical authority on data, shaping architecture for reliable data access, and collaborating with various stakeholders to translate data needs into scalable solutions.

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 Cross-Functionally: Partner closely with engineering, product, and analytics teams to understand data needs and translate them into concrete technical solutions
• Lead & Mentor: Mentor engineers on data engineering principles and patterns, and contribute actively to hiring and team development
• Deploy & Operate (Bonus): Experience with CI/CD pipelines and cloud data infrastructure is a plus, but not a core requirement of the role

Requirements:

• 10+ years of data engineering experience, including significant time in senior, staff, or principal-level roles
• Deep expertise in data pipeline design and distributed data systems, with a track record of owning complex production data infrastructure
• Proven experience with data modeling, ingestion, transformation, and orchestration at scale in a SaaS environment
• Strong proficiency in SQL and experience with modern data warehousing technologies
• Experience establishing data quality and observability frameworks across an organization
• Experience setting technical direction at an organizational level—not just within a single team
• Strong communication skills and the ability to make complex data architecture decisions legible to non-technical stakeholders
• Prior startup or mission-critical environment experience strongly preferred
• Bonus: Hands-on experience with CI/CD pipelines and cloud data infrastructure (e.g. AWS, Databricks) at scale