Principal Data Engineer

AT&T•Alpharetta, GA

1d•Onsite

About The Position

Join AT&T and help shape the future of communications and technology that connect the world. We value innovators who seek to explore the unknown and challenge the status quo. Bring your bold ideas and fearless spirit to redefine connectivity and transform how people share stories and experiences. At AT&T, you won’t just imagine the future—you’ll build it. What you’ll do: Own the end-to-end architecture and delivery of advanced data pipelines and integration solutions, shaping how critical business data is transformed into actionable insights. As a principal system engineer you will drive innovation, set technical direction, and ensure our data ecosystem empowers analytics and strategic decisions across the Tower Strategy team. This role offers true autonomy, ownership, and the opportunity to influence both technology and business outcomes.

Requirements

Own the end-to-end architecture and delivery of advanced data pipelines and integration solutions, shaping how critical business data is transformed into actionable insights.
Deep experience designing, building, and managing complex data pipelines and integration solutions in cloud environments.
Strong business acumen, ownership mindset, and ability to work independently to deliver high-impact results for analytics and decision-making.
Bachelor’s degree (BS/BA) in Computer Science preferred.
7+ years of experience in data engineering, data architecture, or related roles.
Experience with cloud data platforms (Azure, AWS, Snowflake), SQL, Python, and ETL tools strongly desired.

Nice To Haves

Serve as a technical expert and strategic contributor, leveraging broad knowledge of data engineering trends, cloud technologies, and analytics platforms to solve complex problems and drive organizational value.
Lead high-impact data projects, consult with senior leadership, and influence executive decisions.
Relevant certifications a plus.

Responsibilities

Data Architecture & Pipeline Development: Design, build, and maintain robust data architectures and pipelines using modern ETL/ELT tools and cloud platforms (e.g., Azure Data Factory, Snowflake, Databricks, SQL Server).
Data Integration & Transformation: Develop automated processes to extract, transform, and load data from diverse operational sources (such as CRM, ERP, or network management systems) into centralized, analytics-ready datasets.
Requirements Analysis: Collaborate with business stakeholders and analysts to translate operational needs into effective, scalable data solutions.
Technical Leadership & Collaboration: Guide data engineering best practices and work closely with cross-functional teams including analysts, developers, and business users.
Performance, Reliability, & Troubleshooting: Monitor and optimize pipeline performance, resolve data quality and reliability issues, and ensure high availability of data assets.
Documentation, Security, & Compliance: Maintain thorough documentation of data flows, ensure data security and regulatory compliance, and drive continuous improvement in data operations.

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.