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# Principal Data Engineer

- **Company:** Mountain LTD
- **Location:** Houston, TX, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Data Governance, Extract Transform Load (ETL), Data Transformation, Apache Hadoop, Apache Hive, Python (Programming Language), Meta-Data Management, Power BI, Azure Data Lake, Data Streaming, Qliksense, Azure Data Factory, Sql Optimization, Apache Spark, Data Lakes, Information Technology, Qlikview, Apache Kafka, Cloud Migration, Stream Analytics, Data Pipelines, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/20790892-b26c-45c6-af01-7e6e12619750

## About the Role

* 15-17 years IT experience with cloud-based analytics delivery.
 * Proficiency in Azure: ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, Synapse.
 * Advanced SQL plus Python, Scala, or Spark SQL.
 * Experience with scalable ETL pipelines, data workflow optimization, and cloud migration.
 * Azure Data Engineering or Databricks certification preferred.
 * Nice to have: Hadoop, Kafka, Spark, Power BI/QlikSense, AI/ML/NLP/GenAI

## Description

* Lead delivery of data analytics solutions with emphasis on Azure data lake architecture, Databricks engineering, governance, and operational performance in a high-volume environment.
 * Architect and implement scalable Azure-based data lake solutions.
 * Establish roadmaps across Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog.
 * Lead data transformation pipelines using Delta Live Tables and Structured Streaming.
 * Optimize Databricks resources for performance and cost.
 * Use Unity Catalog for governance, lineage, and metadata management.
 * Establish data governance, security, and quality policies; monitor production pipeline performance.
 * Mentor teams and translate technical challenges into executive-level actions.