Principal Data Engineer

Multitude Insights

Principal Data Engineer designing and maintaining the core data infrastructure for Multitude Insights. Collaborating with engineering teams to ensure high-quality data access across the organization.

Posted 5/30/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSCloudSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata pipeline designdata modelingdata ingestiondata transformationdata orchestrationSQLdata warehousingCI/CD pipelinescloud data infrastructure

Soft Skills

communication skillsmentoringcollaborationleadershipdata quality advocacycross-functional partnershiptechnical direction setting