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IT Data Engineer

Allied Reliability

Job Location:

Houston, TX - USA

Monthly Salary: Not provided by the employer

Posted: 30 September 2026 (21 hours ago)

Application Deadline: 28 December 2026

Vacancies: 1 Vacancy

Job Summary

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*

Key Responsibilities:

Architect design and implement scalable Azure-based data lake solutions.

Establish roadmaps for capability-building across technologies such as Qlik Replicate Databricks Delta Live Tables and Unity Catalog.

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.

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.

Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies.

Education and Experience:

Bachelors or Masters 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).

Technical Skills

Strong knowledge of Azure technologies including ADF ADLS Databricks Stream Analytics Delta Live Tables and Synapse Analytics.
Advanced proficiency in SQL and programming languages such as Python Scala or Spark-SQL.
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.
Experience with visualization tools such as PowerBI or QlikSense.
Knowledge of AI/ML NLP and GenAI concepts.
Familiarity with AGILE and KANBAN methodologies.

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