Lead Data Engineer

• 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
• 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
• 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
• 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

Benefits

• Health Coverage: We have several choices of medical, dental, and vision plans with a range of coverage levels and costs, including a 100% employer-covered plan.
• Wellness & Lifestyle Perks: Our wellness programs are designed to help you maintain or move toward a healthy lifestyle through mindful meditations, gym access, and other assistance when you need it!
• Company Equity Plan: We believe in shared success. We want our employees to not just work for us, but to truly be part of our growth story.
• Volunteer Days: We’re committed to making a positive impact, both in and outside the workplace!
• Flexible Time Off: We encourage a healthy work-life balance which empowers our teams to recharge when needed and thrive both personally and professionally.
• Team & Company Events: We love to hang out together! We provide many opportunities to get to know each other whether virtually or in person.

• 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
• Familiarity with Salesforce as a revenue source of truth
• Technically rigorous: You go deep on infrastructure problems and don’t stop at surface-level fixes
• Comfort working in a fast-paced environment with a high degree of ownership
• Experience working with international teams across multiple time zones
• Experience in ad tech, media intelligence, or programmatic advertising (DSPs, SSPs, audience data)
• Clear communicator: You can translate complex data concepts into language that resonates with business stakeholders
• Prior exposure to Microsoft Fabric or awareness of the Azure/Fabric roadmap
• Hands-on experience with Azure cloud services or equivalent (Synapse Analytics, Data Factory, Blob Storage)
• 5+ years of experience in data analytics or data engineering, owning pipelines from raw data collection to data delivery and reporting
• 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
• Ability to communicate technical concepts clearly to non-technical stakeholders
• Collaborative: You work well across time zones and functions, and you make your teammates better
• Experience managing or mentoring junior analysts or engineers
• Strong SQL skills, including window functions, complex joins, stored procedures, and performance tuning