Hiring: Principal Engineer, Data Operations Company: SiriusXM Location: New York, NY Job Posted Time: 2026-09-14 17:56:38 Employment Type: Full-time Target Skills & Keywords : Data Operations, Data Engineering, Snowflake, dbt, Semantic Layer, KPI Frameworks, DataOps, Data Architecture, Dimensional Modeling, Metric Standardization, Data Quality, CI/CD, Git, Orchestration, Data Governance, Enterprise Data Platforms Experience: - Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 6 years' experience; or equivalent experience. - Principal-level experience in data operations, data engineering, analytics engineering, systems architecture, or enterprise data platform strategy. - Experience mentoring senior analysts, engineers, or technical partners and raising technical quality across teams without direct people-management accountability. - Track record of anticipating business or technology challenges and introducing meaningful process, product, service, or platform improvements. Required Skills: - Expert command of the modern data stack, including Snowflake, dbt, Git, orchestration tools, data modeling and metric governance, CI/CD practices, testing frameworks, and semantic layer platforms. - Deep expertise in dimensional modeling, metric standardization, semantic architecture design, governed KPI frameworks, and data quality practices. - Demonstrated ability to define technical strategy, architecture standards, and scalable implementation patterns across complex enterprise data ecosystems. - Demonstrated success resolving critical technical issues and shaping broad architectural or design decisions. - Proven ability to influence cross-functional analytics, product, engineering, and business stakeholders through technical strategy, architecture recommendations, and data-driven decision making. - Demonstrated ability to guide and mentor engineers and technical leaders without relying on direct people-management authority. - Excellent written and verbal communication skills, with a passion for making data accessible, actionable, and trusted at enterprise scale. - Ability to manage and analyze large-scale data volumes (1+ PB) across complex ecosystems. Qualifications: - Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field. - Must have legal right to work in the U.S. Compensation: - Base salary range: $180,800 to $210,000, depending on skills, qualifications, and experience. - Additionally, this role might be eligible for discretionary short-term and long-term incentives. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!