Lead Data Engineer – AI & Data Platform Leader

inspirebrands; Georgia; On-site; USD 180,000 - 240,000; Full time

Job summary

Inspire Brands is seeking a Lead Data and AI Engineer to design, build, and manage end-to-end data pipelines and AI-powered solutions within the Enterprise Data Organization.

You will lead data engineering teams, guide platform design, and collaborate with product managers to meet business needs using modern CI/CD, observability, and AI tooling. On-site in Atlanta, with strong emphasis on data quality and scalability.

Qualifications

• 8+ years in a data engineering role.
• 5+ years of advanced SQL queries, scripts, stored procedures, materialized views, and views.
• 3+ years with DevOps models using CI/CD tools.
• Experience on one cloud: Azure/AWS/GCP; Azure preferred.
• Hands-on Python experience.
• Snowflake experience is a plus.

Responsibilities

• Lead and mentor multiple data engineering team members.
• Design, build, and maintain data pipelines and platforms for data ingestion, transformation, and storage.
• Develop and operationalize AI solutions from concept to production, including documentation.
• Promote infrastructure as code, automated testing, and modern observability practices.
• Foster a culture of craftsmanship and provide technical leadership across data teams.
• Collaborate with product managers to translate business needs into data/AI solutions.
• Lead sessions to guide engineers and resolve technical challenges.
• Develop and improve data processes: ingest, transform, store, manage, and ensure data quality.

Skills

SQL mastery

AI/ML deployment

LLM agents

Python

Azure cloud

Tools

Informatica

Talend

Azure Data Factory

Tableau

Apache Airflow

Job description

Inspire Brands is seeking a Lead Data and AI Engineer to design, build, and manage end-to-end data pipelines and AI-powered solutions within the Enterprise Data Organization.

You will lead data engineering teams, guide platform design, and collaborate with product managers to meet business needs using modern CI/CD, observability, and AI tooling. On-site in Atlanta, with strong emphasis on data quality and scalability.