Lead Data/AI Engineering

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

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

The Lead Data/AI Engineering role will help shape how data and AI are leveraged across the enterprise, enabling smarter decisions, faster innovation, and scalable AI adoption.

What you’ll do:

• Databricks Application Development:Design, build, deploy, and support production‑grade Databricks applications that connect enterprise data, AI capabilities, and business workflows, using HTML for user interfaces and SQL for data access and transformation.
• AI Engineering:Design, build, and operationalize AI and machine learning solutions that address business needs, ensuring reliability, performance, and responsible use in production environments.

• Data Engineering & Pipelines:Design, build, and support scalable ETL and data pipelines that ingest, clean, transform, and serve data for analytics, machine learning, and AI workloads.

• Cloud & Platform Enablement:Develop and integrate solutions across Snowflake, Azure, ADLS, Databricks, APIs, and other enterprise data platforms to deliver secure, scalable, and performant data and AI applications.
• AI Operations & Quality:ImplementMLOps practices, including monitoring, evaluation, and lifecycle management to ensure AI systems remain accurate, scalable, and reliable over time.

• Business Partnership:Collaborate with business partners and technical stakeholders to understand use cases, translate requirements into technical designs, and iteratively deliver high‑value data and AI solutions.
• Governance & Security:Ensure data integrity, security, and compliance across the data and AI lifecycle, supporting responsible AI practices and enterprise risk management standards.

What you’ll need:

• Databricks Application Development Experience:Hands‑on experience building, deploying, and supporting Databricks applications is required, including integrating data sources, developing user interfaces, and delivering applications for business users.

• Strong Engineering Foundation:Proficiency in Python, SQL, and HTML, with experience building production‑grade data applications and AI solutions. Strong SQL skills for querying, transforming, and integrating data are essential.

• Data Pipeline Expertise:Hands‑on experience designing and supporting ETL processes and large‑scale data pipelines for analytics and AI workloads.

• Snowflake & Azure Experience:Hands‑on experience developing and integrating solutions using Snowflake and Azure is required, including data storage, processing, and secure access, along with experience working with ADLS.
• Applied AI Experience:Practical experience supporting AI and machine learning solutions, including data preparation, integration, deployment, and operational considerations.

• Problem‑Solving Mindset:Strong analytical skills with the ability to troubleshoot complex data and AI pipeline issues end‑to‑end.

What you’ll bring:

• Lead‑Level Experience:Demonstrated experience as a Lead or advanced data engineer, AI engineer, or similar role delivering complex data and AI solutions.

• Enterprise Application Delivery:Experience deliveringDatabricks applications and AI‑enabled solutionsin enterprise environments.

• Collaboration & Communication:Ability to work cross‑functionally and clearly communicate technical concepts to both technical and non‑technical stakeholders.
• Continuous Improvement:A passion for learning and staying current with emerging data, AI, and cloud technologies—and applying them thoughtfully in production environments.

Changing the speed of business comes with many rewards—starting with your impact.

Education/Experience: Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing. 5+ years of related experience. Certification is required in some areas.

Supervisor: No

Our Lead Data/AI Engineering jobs earn between $158,200.00 - $237,400.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours: 40

Time Type: Regular

Location: Dallas, Texas

Salary Range: $158,200.00 - $237,400.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.