Lead Data Engineer

Salary Range: 155000 to 180000 (Currency: USD) (Pay period: per-year-salary)

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

 
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