Lead Data Engineer
At a glance
Senior Data Engineering role at Samba. New York · full-time · $155,000–$180,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Run Azure data systems from ingestion through transformation and delivery, covering more than one hundred upstream sources
- Build and maintain SQL and Python pipelines, stored procedures, and data models for reliable reporting
- Protect data quality through governance, testing, pipeline reliability, and team documentation standards
- Turn questions from Sales, Finance, and Operations into reporting, revenue analysis, and focused deep dives
- Lead BI analysts across locations, prioritize incoming requests, and set standards for delivery and code quality
What you bring
- At least five years owning data work from raw collection through reporting, in analytics or engineering
- Strong SQL skills across complex joins, window functions, stored procedures, and performance tuning
- Hands-on Azure cloud experience, or comparable work with Synapse Analytics, Data Factory, or Blob Storage
- You have managed or mentored junior analysts or engineers and can explain technical topics to business teams
Who this fits
This senior role suits someone who can own data infrastructure while guiding analysts and presenting useful insights to executives. The position is onsite in New York and involves working across functions and time zones.
From the employer
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