Senior Data Engineer — Enterprise Data & AI Platform

ZoomInfo Technologies LLC; London (KY); On-site; USD 140,000 - 190,000; Full time

Job summary

ZoomInfo Technologies LLC is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise‑level data infrastructure enabling internal teams to interact with data comprehensively.

You will own production pipelines, work with Airflow, DBT, and Python, and integrate diverse data sources into a robust data ecosystem. Strong leadership and on-call experience are expected.

Qualifications

• 8+ years of progressive data engineering experience with leadership impact.
• Experience owning production data systems and on-call rotations.
• Proven ability to design and scale enterprise data infrastructure for data-centric products.

Responsibilities

• Design, build, and maintain high-performance data pipelines using Airflow, DBT, and Python.
• Architect and optimize Snowflake-based data warehouse and data lakehouse as the single source of truth.
• Lead ingestion of diverse data sources (structured and unstructured) with quality controls.
• Define roadmap priorities to align with internal consumer needs and AI capabilities.
• Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions.
• Establish data quality SLAs, data lineage, and observability across pipelines.
• Participate in on-call rotations, triage incidents, perform root-cause analyses, and drive remediation.

Skills

SQL

Python

DBT

Snowflake

On-call

Data architecture

Cloud platforms

Terraform

Monitoring

CI/CD for data

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Airflow

Git

Job description

ZoomInfo Technologies LLC is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise‑level data infrastructure enabling internal teams to interact with data comprehensively.

You will own production pipelines, work with Airflow, DBT, and Python, and integrate diverse data sources into a robust data ecosystem. Strong leadership and on-call experience are expected.