Lead Data Engineer – Architecture, AI, Strategy
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Job Description
- Architect, design, and evolve scalable data platforms and frameworks to transform complex structured and unstructured data into business intelligence.
- Lead the integration of AI, ML, and advanced analytics into enterprise data governance processes, enhancing automation, insight generation, and predictive capabilities.
- Develop enterprise-wide data strategies, partnering with senior leadership to align technology roadmaps with business goals and compliance mandates.
- Evaluate emerging technologies and recommend capability enhancements to drive innovation, efficiency, and data protection.
- Guide cross-functional teams and mentor engineers, fostering best practices in data engineering and architecture.
- Ensure data solutions meet rigorous standards for governance, security, and regulatory compliance.
- Exercise independent judgment on complex capability decisions and strategic initiatives.
Requirements
- Demonstrated expertise architecting large-scale data solutions using cloud-native and big data platforms (e.g., Azure, AWS, Google Cloud)
- Proven experience integrating AI and machine learning models into enterprise data environments.
- Strong background in designing enterprise data strategies and advising senior leadership.
- Advanced knowledge of data governance, security frameworks, and regulatory compliance (state, federal, and enterprise).
- Excellent leadership and communication skills; experience guiding technical teams and managing strategic projects.
- Mastery of modern software engineering and architectural best practices.
- 2-3 years preferred experience with ontology
Benefits
- Health benefits effective day 1
- Paid time off, holidays, volunteer time and jury duty pay
- Recognition pay
- 401(k) retirement savings plan with employer match
- Tuition assistance
- Scholarships for eligible dependents
- Parental and caregiver leave
- Employee charity matching program
- Network Resource Groups (NRGs)
- Career development opportunities
Job Type
- Job Type
- Full Time
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