Principal Data Engineer

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Multitude Insights

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2023

☁️ SaaS

🏛️ Governo

🤖 Inteligência Artificial

💰 Seed em 2024-06

SaaS • Government • Artificial Intelligence

A Multitude Insights é uma empresa de SaaS que desenvolve software de colaboração seguro e compatível com CJIS para agências de aplicação da lei e segurança pública. Seu produto carro-chefe, BLTN, substitui boletins estáticos e conversas por e-mail por uma plataforma pesquisável e aprimorada por IA que permite que oficiais, detetives e analistas criem, compartilhem e vinculem inteligência entre jurisdições em tempo real. A plataforma integra-se com sistemas CAD/RMS existentes, enfatiza a segurança auditada e controles de dados (SOC 2 Type II, CJIS, TX-RAMP) e é projetada para acelerar investigações e o compartilhamento de informações entre agências.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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