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 without direct performance-management responsibility.
Create formal networks with key technical and business decision makers to influence enterprise data strategy, platform evolution, and long-term DataOps capabilities.
Manage and analyze large-scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases.
Define and champion engineering standards, design principles, governance practices, and reusable patterns for data operations.
Guide and mentor engineers and technical leaders across a wide range of audiences, raising technical judgment and operational excellence throughout the organization.
Represent the organization’s data operations capabilities with senior stakeholders and, when appropriate, external technical communities.
What You’ll Need
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.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Principal-level experience in data operations, data engineering, analytics engineering, systems architecture, or enterprise data platform strategy.
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.
Demonstrated ability to define technical strategy, architecture standards, and scalable implementation patterns across complex enterprise data ecosystems.
Deep expertise in dimensional modeling, metric standardization, semantic architecture design, governed KPI frameworks, and data quality practices.
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.
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.
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.
Must have legal right to work in the U.S.
At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be in the range of $ 180,800 to $ 210,000 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.
Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
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 without direct performance-management responsibility.
Create formal networks with key technical and business decision makers to influence enterprise data strategy, platform evolution, and long-term DataOps capabilities.
Manage and analyze large-scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases.
Define and champion engineering standards, design principles, governance practices, and reusable patterns for data operations.
Guide and mentor engineers and technical leaders across a wide range of audiences, raising technical judgment and operational excellence throughout the organization.
Represent the organization’s data operations capabilities with senior stakeholders and, when appropriate, external technical communities.
What You’ll Need
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.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Principal-level experience in data operations, data engineering, analytics engineering, systems architecture, or enterprise data platform strategy.
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.
Demonstrated ability to define technical strategy, architecture standards, and scalable implementation patterns across complex enterprise data ecosystems.
Deep expertise in dimensional modeling, metric standardization, semantic architecture design, governed KPI frameworks, and data quality practices.
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.
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.
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.
Must have legal right to work in the U.S.
At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be in the range of $ 180,800 to $ 210,000 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.
Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
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