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# Principal Data Engineer

- **Company:** Apptad Inc.
- **Location:** Frisco, TX, United States
- **Salary:** $150,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Computing Platforms, Microsoft Azure, Cloud Engineering, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Vault Modeling, Github, Python (Programming Language), Performance Tuning, Role-Based Access Control, Azure Data Lake, Cloud Platform System, Azure Data Factory, Sql Optimization, Snowflake, Apache Spark, Microsoft Fabric, Data Lakes, Pyspark, Kubernetes, Infrastructure Automation Frameworks, Data Lineage, Star Schema, Bicep, Apache Kafka, Spark Streaming, Video Streaming, Terraform, Stream Processing, Data Pipelines, Key Vault, Databricks
- **Published:** August 1, 2026
- **Apply:** https://www.careerjet.com/jobad/usecb0d511b64134c292e28c32f46c8657

## About the Role

* 12+ years of Data Engineering experience with enterprise-scale platforms.
 * Strong expertise in Databricks, Snowflake, PySpark, Python, Advanced SQL, Spark.
 * Experience with Azure Data Factory, ADLS Gen2, Event Hub, Azure DevOps, or AWS equivalents.
 * Hands-on experience with Airflow, CI/CD, GitHub Actions, and Infrastructure as Code (Terraform/Bicep).
 * Strong knowledge of streaming technologies (Kafka/Event Hub, Spark Structured Streaming).
 * Experience with data quality frameworks, monitoring, governance, and performance optimization.
 * Strong understanding of data modeling, Delta Lake, and cloud-native architectures.
 * Excellent leadership, mentoring, and stakeholder management skills.

Preferred Qualifications

 * Finance domain expertise (Billing, Revenue, GL, Revenue Recognition, Period-End Close).
 * Experience with dbt, Great Expectations, Unity Catalog, and Microsoft Fabric.
 * Background in large enterprise or FAANG environments with platform architecture leadership.

## Description

* Architect and develop scalable ETL/ELT pipelines for finance and revenue data.
 * Lead implementation of Databricks, Snowflake, dbt, and orchestration frameworks (Airflow/ADF).
 * Design cloud-native data platforms on Azure (ADLS Gen2, ADF, Event Hub, Key Vault) or AWS.
 * Build real-time data processing solutions using Kafka/Event Hub and Spark Structured Streaming.
 * Establish enterprise standards for data quality, observability, testing, CI/CD, and governance.
 * Support scalable data modeling (Star Schema, Snowflake, Data Vault, SCD Type 1/2).
 * Drive security, RBAC, data lineage, compliance, and platform modernization initiatives.
 * Mentor engineering teams and provide technical leadership across cross-functional programs., Principal Data Platform Engineer - Full-Stack Analytics We are seeking a hands-on principal engineer to lead the architecture and development of a greenfield data and analytics p…
 + 18 days ago


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