Data Engineer IV

POSITION SUMMARY

The Data Engineer IV is responsible for transforming data that can be easily analyzed. The position will be responsible for expanding and optimizing our data and data pipeline for our Association partners. The Data Engineer IV primarily works with project teams on developing new data platforms to support strategic initiatives in alignment with business and/or enterprise strategies.

Duties And Responsibilities

• Lead and architect an enterprise-scale data engineering project team in a matrix organization
• Provide strategic direction for the design, enhancement, and long-term support of data platforms
• Influence process including, : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build and optimize the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Oversee engineering standards through code reviews to ensure quality and best practices are maintained
• Shape enterprise-wide data governance policies, partnering with senior leadership and stakeholders

Skills And Competencies

• Coach and mentor junior engineers
• Effectively Communicate technical direction to senior leadership and cross-functional stakeholders
• Foster innovative team culture and process improvement during development phase
• Shape enterprise-wide data governance policies, partnering with senior leadership and stakeholders
• Show thought leadership in data engineering practices and enterprise data strategy

Requirements

• Minimum Knowledge and Education Requirements: Bachelor's degree in computer science or MIS, and 10+ years’ experience in data modeling and cloud technologies
• Expert with the Azure technology stack including: Databricks Data Factory SQL Python Power BI (Business Intelligence)
• 2+ years of leading large, distributed technical teams as well as actively interfacing with senior leadership teams
• Ability to work comfortably in both Agile and Waterfall methodologies
• Strong organization, analytical, and communication skills
• Proficiency in the following technologies: Microsoft Office Suite
• Strong customer service focus (data consumers as customers)
• Familiar with software development best practices
• Knowledge and proficiency in Artificial Intelligence concepts and technologies, including or similar to ChatGPT, Claude, Windsurf, Perplexity AI, Grok, Gemini