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Principal Data Engineer
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We're looking for a Principal/Staff Data Engineer to join our client's team.
Our client is a trusted IT services company providing high-quality engineering and technology solutions to global clients. About the ClientA leading manufacturing company known for innovation and breakthrough products.
Their data team powers critical business decisions across commercial, operations, and product development.
Your Role on the TeamAs a Principal Data Engineer, you will be a senior technical leader who drives, architects, and delivers innovative data products that enable the company to move with speed, agility, and urgency. ResponsibilitiesCollaborate directly with Data Architects and business partners to design, enhance, and evolve enterprise-wide data architecture and platform capabilities. Translate architectural strategies into technical execution, influencing implementation details, system design, and delivery approach across teams. Design, code, and optimize complex distributed data processing systems using technologies such as Spark, Databricks, and cloud-native data services. Develop canonical data models, semantic structures, and reusable datasets that support enterprise reporting and machine learning initiatives. Drive platform modernization initiatives (e. g. , Delta Lake, streamingarchitectures, metadata-driven design). Provide technical leadership, guidance, and mentorship to Staff, Senior, and mid-level data engineers, enabling rapid, high-quality delivery. Communicate clearly and effectively with business partners to understand needs beyond surface requests. Must Have+8 years of data engineering experience. Expert SQL - This is a heavy SQL shop. Advanced query optimization,complex joins, window functions, CTEs, performance tuning. Excellent communication skills - Clear, articulate communication with both technical and business stakeholders. Ability to explain technical concepts and ask clarifying questions. Cloud data platform experience - Extensive experience with distributeddata processing (Spark), cloud data platforms (Databricks, Synapse, orAWS). Data modeling - Strong ability to design dimensional models, data vault, canonical models across business domains. Production-grade data engineering - Understanding of building efficient, cost-effective queries and pipelines at scale. Medallion architecture - Deep understanding of bronze/silver/gold datatransformation layers. Distributed systems - Designing and tuning Spark jobs, understandingcluster optimization and cost management. Python - Working knowledge (not heavily used but helpful forSpark/Databricks)What We Offer Competitive USD salary - 8k-9k USD monthly100% Remote (LATAM)Work embedded with a well-established enterprise product team onmeaningful, real-world problems.
Our client is a trusted IT services company providing high-quality engineering and technology solutions to global clients. About the ClientA leading manufacturing company known for innovation and breakthrough products.
Their data team powers critical business decisions across commercial, operations, and product development.
Your Role on the TeamAs a Principal Data Engineer, you will be a senior technical leader who drives, architects, and delivers innovative data products that enable the company to move with speed, agility, and urgency. ResponsibilitiesCollaborate directly with Data Architects and business partners to design, enhance, and evolve enterprise-wide data architecture and platform capabilities. Translate architectural strategies into technical execution, influencing implementation details, system design, and delivery approach across teams. Design, code, and optimize complex distributed data processing systems using technologies such as Spark, Databricks, and cloud-native data services. Develop canonical data models, semantic structures, and reusable datasets that support enterprise reporting and machine learning initiatives. Drive platform modernization initiatives (e. g. , Delta Lake, streamingarchitectures, metadata-driven design). Provide technical leadership, guidance, and mentorship to Staff, Senior, and mid-level data engineers, enabling rapid, high-quality delivery. Communicate clearly and effectively with business partners to understand needs beyond surface requests. Must Have+8 years of data engineering experience. Expert SQL - This is a heavy SQL shop. Advanced query optimization,complex joins, window functions, CTEs, performance tuning. Excellent communication skills - Clear, articulate communication with both technical and business stakeholders. Ability to explain technical concepts and ask clarifying questions. Cloud data platform experience - Extensive experience with distributeddata processing (Spark), cloud data platforms (Databricks, Synapse, orAWS). Data modeling - Strong ability to design dimensional models, data vault, canonical models across business domains. Production-grade data engineering - Understanding of building efficient, cost-effective queries and pipelines at scale. Medallion architecture - Deep understanding of bronze/silver/gold datatransformation layers. Distributed systems - Designing and tuning Spark jobs, understandingcluster optimization and cost management. Python - Working knowledge (not heavily used but helpful forSpark/Databricks)What We Offer Competitive USD salary - 8k-9k USD monthly100% Remote (LATAM)Work embedded with a well-established enterprise product team onmeaningful, real-world problems.
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LURECRUITER United States
