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We are seeking a Senior Data Engineer to join a high-impact data initiative, driving the implementation of data management solutions and enterprise-scale data platforms. This is a highly client-facing role, requiring strong communication skills and the ability to work independently while delivering end-to-end solutions. The ideal candidate will have deep expertise in Databricks and Unity Catalog, along with strong experience in building and optimizing modern data pipelines.
Job Responsibility:
Lead the implementation of data management MVPs across the enterprise
Design, build, and optimize data engineering pipelines
Work extensively with Databricks and Unity Catalog for data governance and management
Optimize performance across Databricks and Kafka-based data pipelines
Collaborate directly with clients and stakeholders to understand requirements and deliver solutions
Drive initiatives related to data governance, metadata, data quality, and access management (UAM)
Support development and visualization efforts using tools like Power BI (as needed)
Ensure scalability, reliability, and performance of data platforms
Requirements:
Strong hands-on experience with Databricks
Experience with Unity Catalog for data governance
Advanced experience building data pipelines and data engineering solutions
Experience with DBT (Data Build Tool)
Strong knowledge of Kafka and data pipeline performance optimization
Experience or strong interest in data governance and data management
Exposure to metadata management, data quality rules, and access management (UAM)
Familiarity with GenAI-driven data use cases is a plus
Experience with Power BI (preferred)
Strong understanding of scalable data architectures
Experience in the Oil & Gas industry is preferred
Strong client-facing communication and presentation skills
Ability to work independently in a fast-paced environment
Proactive mindset with strong ownership and execution capabilities
Ideally based in Houston, TX and available onsite 4–5 days per week
Open to candidates willing to travel onsite twice per month
Nice to have:
Familiarity with GenAI-driven data use cases is a plus