Lead Data & AI Platform Engineer

AT&T; Dallas (TX); On-site; USD 158,000 - 237,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Sick leave

Job summary

AT&T is seeking a Lead Data/AI Engineer based in Dallas to shape enterprise data and AI initiatives. You will design and deploy Databricks applications, build AI/ML solutions, and govern scalable data pipelines across Snowflake, Azure, and ADLS.

Collaboration with partners and stakeholders is essential. The role emphasizes production-grade delivery, reliability, and responsible AI practices, with a strong engineering foundation in Python/SQL/HTML and 5+ years of related experience.

Qualifications

• Bachelor's degree in CS/Scientific Computing or related field; 5+ years experience preferred.
• Hands-on Databricks development experience and production deployment.
• Strong Python, SQL, and HTML skills for data apps and AI solutions.
• Experience with ETL/data pipelines at scale; proficiency in Snowflake & Azure.
• Knowledge of MLOps, governance, security, and enterprise data lifecycle.

Responsibilities

• Design, build, deploy, and support production-grade Databricks applications.
• Design, build, and operationalize AI/ML solutions for business needs.
• Design, build, and support scalable ETL/data pipelines for analytics and AI workloads.
• Develop and integrate solutions across Snowflake, Azure, ADLS, Databricks, APIs.
• Implement MLOps practices and lifecycle management for AI systems.

Skills

Databricks development

Python

SQL

HTML

AI engineering

Data pipelines

Problem solving

Education

Bachelor's degree in Computer Science or Scientific Computing

Tools

Databricks

Snowflake

Azure

ADLS

APIs

Job description

AT&T is seeking a Lead Data/AI Engineer based in Dallas to shape enterprise data and AI initiatives. You will design and deploy Databricks applications, build AI/ML solutions, and govern scalable data pipelines across Snowflake, Azure, and ADLS.

Collaboration with partners and stakeholders is essential. The role emphasizes production-grade delivery, reliability, and responsible AI practices, with a strong engineering foundation in Python/SQL/HTML and 5+ years of related experience.