Principal Engineer, Data Operations
- Location
- New York / Oakland
- Employment
- Full Time
- Work model
- On-Site
- Level
- Principal
- Salary
- $180.8k – $210k/yr
Skills
About this role
Who We Are
SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are. This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM’s vision to life every day. SiriusXM Media is the gateway for marketers to the largest digital audio advertising ecosystem in North America. As the combined advertising revenue organization of Sirius XM Holdings Inc., SiriusXM Media spans across leading owned and operated audio platforms Pandora and SiriusXM; innovative ad tech solutions powered by AdsWizz; sonic creative consultancy Studio Resonate; and an extended content network featuring exclusive monetization agreements with Audiochuck, NBCUniversal, SoundCloud, and many more. Reaching more than 150 million listeners each month, SiriusXM Media delivers audiences the tailored brand experiences they crave while putting creators first, making it easy for every marketer to produce, plan, buy and measure across its entire audio universe. How You’ll Make an Impact As the Principal Engineer, Data Operations, you will serve as a principal technical authority for enterprise Data Operations, defining scalable architecture, standards, and governance practices that enable trusted, performant, and accessible data products across SiriusXM Media. You will shape the technical strategy for Snowflake-based data models, semantic layers, KPI frameworks, and DataOps practices that support business, product, publisher, and advertiser use cases. Your work will directly influence how the organization measures success, scales data quality, and makes data-driven decisions without direct people-management responsibility. What You’ll Do: Serve as the principal technical owner for Data Operations architecture, standards, and best practices across enterprise data platforms. Set the technical direction for data operations capabilities that support reliable, scalable, secure, and efficient data movement and processing across the organization. Define and evolve scalable Snowflake, dbt, semantic layer, and KPI architecture patterns that enable trusted, governed, and performant data assets. Lead critical design decisions for large-scale data models, metric standardization, semantic architecture, and data quality frameworks that support business and product outcomes. Partner with data engineering, product, analytics, and business stakeholders to translate complex requirements into scalable technical solutions and architecture recommendations. Drive technical alignment with the product roadmap and vision by ensuring KPI metrics, data models, and semantic definitions are well-defined, actionable, and reusable. Establish and advance technical standards for dbt, testing frameworks, CI/CD, Git workflows, orchestration, documentation, and operational excellence. Resolve complex DataOps and data architecture issues across large-scale ecosystems, including streaming, podcasting, satellite, publisher, and advertiser use cases. Review and guide the development of data pipeline requirements, process models, architectural recommendations, and reusable implementation patterns. Provide technical leadership, coaching, and mentorship to analysts, engineers, and cross-functional partners