Senior Data & AI Engineering Lead

Inspire; Atlanta (GA); On-site; USD 190,000 - 240,000; Full time

Job summary

Inspire Brands is seeking a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines and AI-driven solutions. You will lead data engineering teams, drive best practices, and collaborate with product owners to understand business needs.

You will work hands-on across ETL, data storage, and AI/LLM initiatives, leveraging cloud platforms (Azure) and modern tooling to deliver scalable, production-ready data services in Atlanta.

Qualifications

• 8+ years of experience in a data engineering role.
• 5+ years of advanced SQL queries, scripts, stored procedures, materialized views, and views.
• 3+ years of DevOps and CI/CD tooling experience.
• Experience with one or more cloud platforms (Azure preferred).
• Hands-on Python development experience.
• Snowflake experience a plus.

Responsibilities

• Lead and guide multiple technical data engineering team members.
• Design, build, and operate data pipelines: ingestion, transformation, distribution, quality, and storage.
• Develop and operationalize AI solutions from concept to production.
• Implement infrastructure as code, automated testing, and modern observability.
• Mentor and cultivate a scalable engineering culture across data teams.
• Collaborate with product managers to translate business needs into data/AI solutions.
• Work with architects and data modelers on Data and AI jobs to meet business needs.
• Produce production-ready, well-documented data solutions; ensure coding standards.

Skills

Advanced SQL

Python

Cloud computing

LLMs / Agentic AI

AI/ML delivery

Agile methodologies

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Azure Data Factory

Apache Airflow

Tableau

Informatica

Talend

GitHub Copilot

Temporal

Pydantic AI

Azure OpenAI

Job description

Inspire Brands is seeking a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines and AI-driven solutions. You will lead data engineering teams, drive best practices, and collaborate with product owners to understand business needs.

You will work hands-on across ETL, data storage, and AI/LLM initiatives, leveraging cloud platforms (Azure) and modern tooling to deliver scalable, production-ready data services in Atlanta.