Multitude Insights - Principal Data Engineer

Unknown4w ago

Remote Principal WW Cloud Computing Data Analytics Data Engineer Principal Data Quality SQL AWS Databricks

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

Responsibilities

• Design & Build: Architect and maintain the company’s core data infrastructure, including pipelines, warehousing, ingestion, transformation, and orchestration systems. • Design & Build: • 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. • Own the Data Platform: • 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. • Set the Standard: • Champion Data Quality: Drive data quality and observability initiatives across the platform, ensuring stakeholders can trust the data they rely on. • Champion Data Quality: • Collaborate Cross-Functionally: Partner closely with engineering, product, and analytics teams to understand data needs and translate them into concrete technical solutions. • Collaborate Cross-Functionally: • Lead & Mentor: Mentor engineers on data engineering principles and patterns, and contribute actively to hiring and team development. • Lead & Mentor: • Deploy & Operate (Bonus): Experience with CI/CD pipelines and cloud data infrastructure is a plus, but not a core requirement of the role. • Deploy & Operate (Bonus):