What are the responsibilities and job description for the Principal Data Engineer – Data & Intelligence position at ChabezTech LLC?
Job Description: Principal Data Engineer – Data & Intelligence
Client: T-Mobile Finance / RDMP
Location: Bellevue, WA / Frisco, TX
Work Arrangement: Hybrid – 3 days onsite per week
Contract Duration: November 10, 2026 – April 30, 2027
Experience Level: Senior / Principal
Job Summary
We are seeking an experienced Principal Data Engineer to lead the design, development, and optimization of enterprise-scale data engineering solutions supporting finance and revenue data platforms. The ideal candidate will have extensive hands-on experience with Snowflake, Delta Lake, Databricks, Delta Live Tables (DLT), Unity Catalog, dbt, and PySpark.
The candidate will drive data platform architecture, build scalable and reliable data pipelines, establish engineering best practices, and provide technical leadership across complex data initiatives.
Key Responsibilities
- Design, architect, and develop scalable ETL/ELT data pipelines for billing, revenue, general ledger (GL), and operating expense data.
- Implement batch, incremental, change data capture (CDC), and streaming data ingestion frameworks.
- Lead Snowflake and Databricks architecture, development, performance tuning, and cost optimization.
- Develop and optimize data processing workflows using Delta Lake, Delta Live Tables, Unity Catalog, dbt, and PySpark.
- Build reusable data transformation frameworks and implement data quality and automated testing standards.
- Design and manage data orchestration workflows using Apache Airflow and Azure Data Factory.
- Develop cloud-native data solutions using Azure services, including ADLS Gen2, Event Hub, and Key Vault, or equivalent AWS services.
- Implement real-time and near-real-time data processing using Kafka, Event Hub, and Spark Structured Streaming.
- Establish CI/CD pipelines, code review standards, version control, and deployment practices using GitHub Actions or Azure DevOps.
- Implement data governance, access controls, lineage, auditing, and security standards.
- Optimize SQL queries, Spark workloads, storage, partitioning, and compute utilization.
- Collaborate with data architects, business stakeholders, analysts, and engineering teams to deliver high-quality data solutions.
- Lead technical design reviews, mentor engineers, resolve complex production issues, and drive continuous improvement.
Mandatory Technical Skills
- Snowflake and Delta Lake: 7 years of experience.
- Databricks, Delta Live Tables (DLT), and Unity Catalog: 7 years of experience.
- dbt and PySpark: 5 years of experience.
Additional Technical Skills
- Advanced SQL and Python programming.
- Data pipeline architecture, ETL/ELT, CDC, and incremental processing.
- Cloud data engineering using Azure or AWS.
- Data orchestration using Airflow or Azure Data Factory.
- Streaming technologies such as Kafka, Event Hub, and Spark Structured Streaming.
- Data quality frameworks, automated testing, and observability.
- CI/CD, GitHub Actions, Azure DevOps, Terraform, and Bicep.
- Data modeling, performance optimization, and enterprise data governance.
- Additional technologies: REST APIs, Java, and Microservices.
Required Qualifications
- Strong experience designing and implementing enterprise-scale data engineering platforms.
- Proven hands-on expertise in the mandatory technologies listed above.
- Experience building secure, reliable, fault-tolerant, and high-performance data pipelines.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to lead technical initiatives, establish engineering standards, and mentor team members.
- Excellent communication and collaboration skills.
Work Location and Onsite Requirements
- Location: Bellevue, Washington, or Frisco, Texas.
- Onsite Requirement: 3 days per week.
- Candidates must be able to meet the onsite work requirement.
Additional Information
- Domain Experience: Not specified as mandatory.
- Certifications: No mandatory certifications specified.
- Prior U.S. T-Mobile Experience: Not specified as mandatory.
- Contract Period: November 10, 2026, through April 30, 2027.