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We are looking for a Lead Data Engineer to join our Revenue Operations team.This role sits at the intersection of data infrastructure and business impact - building and owning the systems that power reliable reporting, as well as leading a small team of analysts.
You'll report directly to the Director of Business Intelligence and work closely with stakeholders across Sales, Finance, and Operations. This is a high-ownership role suited for someone who is comfortable being the subject matter expert on our data infrastructure while also thinking about how to present insights to executives.
WHAT YOU'LL DO
Infrastructure & Data Engineering
Own and maintain our Azure-based data infrastructure, including data ingestion, transformation, and delivery
Oversee data ingestion of 100+ upstream raw data sources (Salesforce, DSPs, ad platforms) into our data warehouse
Manage our data transformation pipelines and implement best-in-class systems design - includes writing complex SQL/ Python queries, stored procedures, and pipeline logic
Implement data governance best practices and champion these across the organization
Ensure data quality, pipeline reliability, and documentation standards across the team - quality assurance is a key cornerstone of the role
Reporting & Analytics
Translate business questions from stakeholders into data models and reporting solutions
Support revenue analytics - including advertiser performance, DSP reporting, and product-level breakdowns
Own ad hoc analysis and deep-dives as needed
Cross-Team Collaboration to build and maintain a platform that serves the needs of constituents across Sales, Sales Support, Finance, Marketing and Product
Team Leadership
Manage and mentor a team of BI analysts across the globe, supporting their growth and day-to-day execution
Triage and prioritize incoming data requests alongside the Director of BI
Set and uphold standards for data governance, code quality, documentation, and project delivery
Serve as the subject matter expert for our data engineering infrastructure
WHO YOU ARE
Ownership-driven: You treat the systems you build and the team you lead as your own, and you care about getting things right. Accuracy is paramount
Technically rigorous: You go deep on infrastructure problems and don't stop at surface-level fixes
Clear communicator: You can translate complex data concepts into language that resonates with business stakeholders
Collaborative: You work well across time zones and functions, and you make your teammates better
5+ years of experience in data analytics or data engineering, owning pipelines from raw data collection to data delivery and reporting
Strong SQL skills, including window functions, complex joins, stored procedures, and performance tuning
Hands-on experience with Azure cloud services or equivalent (Synapse Analytics, Data Factory, Blob Storage)
Experience managing or mentoring junior analysts or engineers
Ability to communicate technical concepts clearly to non-technical stakeholders
Comfort working in a fast-paced environment with a high degree of ownership
Experience in ad tech, media intelligence, or programmatic advertising (DSPs, SSPs, audience data)
Familiarity with Salesforce as a revenue source of truth
Experience working with international teams across multiple time zones
Prior exposure to Microsoft Fabric or awareness of the Azure/Fabric roadmap
Skills Required
- 5+ years of experience in business intelligence, data analytics, or data engineering
- Strong SQL skills, including window functions, complex joins, stored procedures, and performance tuning
- Hands-on experience with Azure cloud services (Azure Synapse Analytics, Azure Data Factory, Azure Blob Storage)
- Experience building, maintaining, and evolving data pipelines (ingestion, transformation, delivery)
- Proficiency with Power BI or a comparable BI tool (Tableau, Looker, Sigma)
- Experience managing or mentoring BI analysts or engineers
- Experience with revenue analytics (advertiser performance, DSP reporting, product-level breakdowns)
- Familiarity with Salesforce as a revenue source of truth
- Experience integrating with upstream systems (Salesforce, DSPs, ad platforms) and partnering with data engineering
- Ability to communicate technical concepts clearly to non-technical stakeholders
- Experience working with international teams across multiple time zones
- Prior exposure to Microsoft Fabric or awareness of the Azure/Fabric roadmap
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers. Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better. Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
