{"schemaVersion":"jobsearcher.job.v1","id":"9a8ba6bf6ea34ccbeb54e2ea","url":"https://jobsearcher.com/jobs/9a8ba6bf6ea34ccbeb54e2ea","canonicalUrl":"https://jobsearcher.com/jobs/9a8ba6bf6ea34ccbeb54e2ea","title":"Lead AI Data Engineer","description":"Job Description: Lead AI Data EngineerExperience: 15+ YearsLocation:-Irving,TexasEmployment:-W2 OnlyRole: Lead AI Data EngineerJob 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.","company":"Innorev Technologies","rawCompany":"innorev technologies","city":"Arlington","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-30T07:56:08.674Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead AI Data Engineer","description":"Job Description: Lead AI Data EngineerExperience: 15+ YearsLocation:-Irving,TexasEmployment:-W2 OnlyRole: Lead AI Data EngineerJob 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.","datePosted":"2026-10-30T07:56:08.674Z","dateModified":"2026-10-30T07:56:08.674Z","hiringOrganization":{"@type":"Organization","name":"Innorev Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9a8ba6bf6ea34ccbeb54e2ea"},"url":"https://jobsearcher.com/jobs/9a8ba6bf6ea34ccbeb54e2ea"}}