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Lead Data Engineer

Samba samba.tv Open · verified Oct 24, 2026
On-site New York Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Samba. New York · full-time · $155,000–$180,000 base.

SalaryStated by Samba
$155,000 – $180,000
Base salary for this role, in USD per year, as published in the posting.
This role, from SambaOur estimate for the market: $150,000–$217,500Median $182,000
Below the market median of $182,000 for senior data engineering roles in New York.
Worked out from 44 postings that stated pay, median $182,000. Last updated Oct 23, 2026.
RoleData Engineering
SenioritySenior
LocationNew York
WorkplaceOn-site
EmploymentFull-time
Base pay$155,000–$180,000
PostedJul 10, 2026 · 3mo ago
Role brief

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

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

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

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$150k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.