Lead Data Engineer & Analytics Architect

Cricket Wireless LLC.; Dallas (TX); On-site; USD 144,000 - 216,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Paid Time Off and Holidays

Paid Parental Leave

Adoption Reimbursement

Life and Disability Insurance

Employee Discounts on AT&T plans

Job summary

AT&T is seeking a Data Engineer/Architect to design, build, and maintain scalable data pipelines across APIs, databases, and event streams. You will develop curated datasets and models to support analytics and reporting, applying best-practice data architecture and data quality checks.

You will collaborate with security and platform teams to ensure safe data handling, governance, and observability while contributing to reusable frameworks and CI/CD automation.

Qualifications

• 5+ years 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., Databricks, 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

• 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.
• Collaborate with platform/security teams to implement access controls and safe handling of data.
• Contribute to documentation, reusable frameworks, code standards, and CI/CD automation.

Skills

Advanced SQL

Python/Java/Scala

Orchestration tools

Cloud data ecosystems

Data modeling

Git & CI/CD

Education

Bachelor's degree (Quantitative field)

Tools

Databricks

Snowflake

Airflow

dbt

Spark

Job description

AT&T is seeking a Data Engineer/Architect to design, build, and maintain scalable data pipelines across APIs, databases, and event streams. You will develop curated datasets and models to support analytics and reporting, applying best-practice data architecture and data quality checks.

You will collaborate with security and platform teams to ensure safe data handling, governance, and observability while contributing to reusable frameworks and CI/CD automation.