IT Data Engineer

Allied Reliability is seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions
, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success.

* Candidates must be local to Houston, TX and authorized to work in the US without sponsorship*

• Architect, design, and implement scalable Azure-based data lake solutions
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• Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog
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• Provide technical leadership, ensuring adherence to best practices and quality standards.
• Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming
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• Optimize Databricks resources for high-volume data processing without exceeding budget.
• Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management.
• Develop and enforce robust data governance policies, ensuring compliance, security, and data quality.
• Monitor data pipeline performance and proactively resolve production issues.
• Collaborate with cross-functional teams to align project objectives with business goals.
• Translate technical challenges into actionable insights for executive teams.
• Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies
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• Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies.

Bachelor’s or Master’s degree in IT or a related discipline. Proven track record in building data lake architectures and optimizing performance in big data environments. Certification in Azure Data Engineering or Databricks (preferred).

• Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics
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• Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL
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• Experience in designing and developing scalable ETL pipelines and optimizing data workflows.
• Deep understanding of data migration from on-premises to cloud, cloud to cloud.
• Familiarity with big data tools like Hadoop, Kafka, and Spark
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• Experience with visualization tools such as PowerBI or Qlik Sense.
• Knowledge of I/ML, NLP, and GenAI concepts.
• Familiarity with AGILE and KANBAN methodologies.