Lead AI Data Engineer

Experience: 15+ Years

Location: -Irving, Texas

Role: Lead AI Data Engineer

Job Summary: We are looking for a Lead AI Data Engineer to design and lead scalable data engineering solutions that support AI, Generative AI, and machine learning applications. The candidate should have strong hands-on experience in data architecture, cloud platforms, data pipelines, and AI/ML data integration.

Key Responsibilities: Lead the design and development of scalable data pipelines and data platforms for AI/ML applications. Build ETL/ELT pipelines using Python, SQL, Spark, and PySpark. Design and optimize data solutions using Snowflake, Databricks, and cloud platforms (AWS/Azure/GCP).Develop data pipelines to support LLMs, RAG, vector databases, and Generative AI applications. Integrate structured and unstructured data from multiple enterprise sources. Implement data quality, governance, security, and performance optimization. Collaborate with AI/ML engineers, data scientists, and architects to deliver production-ready AI solutions. Lead technical teams, conduct code reviews, and establish data engineering best practices.

Required Skills: 15+ years of experience in data engineering, including technical leadership. Strong Python, SQL, Spark, and PySpark programming skills. Hands-on experience with Snowflake and/or Databricks. Experience with AWS, Azure, or GCP.Knowledge of GenAI, LLMs, RAG pipelines, and vector databases. Experience with ETL/ELT, data modeling, data lakehouse architecture, and distributed processing. Strong leadership, problem-solving, and stakeholder communication skills.

Preferred Skills: Experience with Apache Airflow, Kafka, dbt, and orchestration frameworks. Familiarity with ML pipelines, feature engineering, and MLOps. Experience deploying production-scale AI and data platforms.