Lead Data Engineer role in Revenue Operations team responsible for building and owning Azure-based data infrastructure, managing data ingestion from 100+ sources including Salesforce and DSPs, maintaining data transformation pipelines with SQL and Python, ensuring data quality and governance, and leading a team of BI analysts. Collaborate with Sales, Finance, and Operations stakeholders to translate business questions into data models and reporting solutions, support revenue analytics, and conduct ad hoc analysis. Requires 5+ years experience in data analytics or engineering, strong SQL skills, Azure cloud experience, team management, and familiarity with ad tech and Salesforce.
What you'll do
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
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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
Requirements
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
