Principal Data Engineer

Principal Data Engineer

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 include:

• Architect and maintain the company's core data infrastructure, including pipelines, warehousing, ingestion, transformation, and orchestration systems.
• Take end-to-end responsibility for the scalability, reliability, and security of the data platform ensuring high-quality data is accessible across the organization.
• Establish and own data engineering best practices, including data modeling, pipeline design, and observability patterns that the broader team can build on.
• Drive data quality and observability initiatives across the platform, ensuring stakeholders can trust the data they rely on.
• Partner closely with engineering, product, and analytics teams to understand data needs and translate them into concrete technical solutions.
• Mentor engineers on data engineering principles and patterns, and contribute actively to hiring and team development.
• Experience with CI/CD pipelines and cloud data infrastructure is a plus, but not a core requirement of the role.

Qualifications include:

• 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.

If you're looking to lead meaningful technical work and help shape a platform used by real-world operators, we'd love to talk.