Principal Data Engineer

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🕒 5 days ago

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Multitude Insights

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

☁️ SaaS

🏛️ Government

🤖 Artificial Intelligence

💰 Seed on 2024-06

SaaS • Government • Artificial Intelligence

Multitude Insights is a SaaS company that builds secure, CJIS-compliant collaboration software for law enforcement and public safety agencies. Their flagship product, BLTN, replaces static bulletins and email threads with a searchable, AI-enhanced platform that lets officers, detectives, and analysts create, share, and link intelligence across jurisdictions in real time. The platform integrates with existing CAD/RMS systems, emphasizes audited security and data controls (SOC 2 Type II, CJIS, TX-RAMP), and is designed to accelerate investigations and interagency information sharing.

📋 Description

• 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.

🎯 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. • Hands-on experience with CI/CD pipelines and cloud data infrastructure (e.g. AWS, Databricks) at scale is a bonus.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development