Lead Data Engineer & Analytics Architect (On‑Site)

AT&T; Brookhaven (GA); On-site; USD 144,000 - 216,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Job summary

AT&T is seeking a Data Engineer/Architect to design and operate scalable batch and streaming data pipelines. You will develop curated datasets and data models to enable analytics and reporting while ensuring data quality and security.

The role requires strong SQL, programming (Python/Java/Scala), and experience with orchestration and cloud data ecosystems. Join a fast-paced environment with cross-functional collaboration, CI/CD practices, and documentation.

Qualifications

• 5-7 years (or equivalent) experience in data engineering, analytics engineering, or backend development with significant data work.
• Advanced SQL and proficiency in at least one language (Python, Java, or Scala).
• Hands-on experience with orchestration and transformation tools (e.g., Datbricks, Snowflake, Airflow, dbt, Spark, or similar).
• Experience with cloud data ecosystems (AWS/GCP/Azure) and data storage/compute services (data lake/warehouse).
• Strong understanding of data modeling (dimensional modeling and/or other modern modeling approaches).
• Solid engineering practices: Git, code reviews, testing, CI/CD, and clear documentation.

Responsibilities

• Understand key concepts of Marketing data and be ready to work in a fast environment.
• Design, build, and maintain scalable batch and/or streaming data pipelines across multiple source systems (APIs, databases, Engineering Tools and event streams).
• Develop curated datasets and data models that support analytics, reporting, and operational use cases.
• Apply data architecture best practices (ingestion patterns, schema evolution, data contracts, lake/warehouse organization).
• Implement data quality checks, observability/monitoring, lineage, and SLAs; troubleshoot pipeline issues end-to-end.
• Optimize data performance and cost (partitioning, clustering, file formats, query tuning, compute sizing)
• Collaborate with platform/security teams to implement access controls and safe handling of sensitive data
• Contribute to documentation, reusable frameworks, code standards, and CI/CD automation.
• Work closely with stakeholders to translate requirements into scalable, maintainable data solutions.

Skills

Advanced SQL

Python

Java

Scala

Databricks

Snowflake

Airflow

dbt

Spark

Cloud platforms (AWS/GCP/Azure)

Education

Bachelor's degree

Tools

Datbricks

Snowflake

Airflow

dbt

Spark

Job description

AT&T is seeking a Data Engineer/Architect to design and operate scalable batch and streaming data pipelines. You will develop curated datasets and data models to enable analytics and reporting while ensuring data quality and security.

The role requires strong SQL, programming (Python/Java/Scala), and experience with orchestration and cloud data ecosystems. Join a fast-paced environment with cross-functional collaboration, CI/CD practices, and documentation.