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Sr. /Lead Data Engineer - Hybrid

SG Analytics Inc.New York, NY🇺🇸United StatesPosted 16 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
11 hours ago
SQLAWSSnowflakeAirflowCloudFormationDatabricksTerraformUnity

Job Description

About the Role:

      We are looking for an experienced Lead Data Engineer with deep expertise in Databricks, PySpark, and AWS. The ideal candidate will have a strong understanding of media measurement datasets (Nielsen) and a proven ability to lead multiple concurrent projects across onsite and offshore teams. This role requires a senior technical leader to define architecture, manage delivery, and mentor teams within the fast-paced New York media industry.

Primary Skill: PySpark, and AWS, Databricks,Delta Lake,Notebooks, and SQL

Secondary Skill: media measurement datasets (Nielsen)

Job Location: Los Angeles, CA, USA  / NYC

Key Responsibilities:

  1. Technical Leadership: Architect and deliver enterprise-scale data platforms using Databricks, PySpark, Delta Lake, and AWS. Lead the development of media analytics pipelines, including the ingestion and modeling of Nielsen data.
  2. Project & Delivery Management: Manage scope, timelines, and risks for multiple simultaneous projects. Collaborate with New York-based stakeholders and drive sprint delivery.
  3. Onsite–Offshore Coordination: Act as the primary technical lead onsite, coordinating with offshore teams to ensure alignment, quality, and continuity.
  4. Team Mentorship: Mentor junior and mid-level engineers through code reviews and architectural guidance.

Skills:

  1. Databricks: Delta Lake, Workflows, Unity Catalog, Notebooks, and SQL.
  2. Data Processing: Strong PySpark and distributed computing experience.
  3. AWS: S3, EMR, Glue, Lambda, Step Functions, Kinesis, and IAM.
  4. Domain Expertise: Proven experience handling Nielsen datasets (National/Local TV ratings, Digital Ad ratings, Panels).
  5. Leadership: Experience leading large data engineering programs and managing senior stakeholders.
  6. Good to Have:
  7. Knowledge of Snowflake, Airflow, or Dagster.
  8. Infrastructure as Code (Terraform / CloudFormation).
  9. Exposure to ad-tech ecosystems (Comscore, Kantar, IAS, Moat) or ML feature pipelines.

Soft Skills:

  1. Strong decision-making and ownership mindset.
  2. Exceptional communication skills for interacting with senior business stakeholders.
  3. Strategic, problem-solving, and delivery-focused approach.

 

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