Description

As a Senior AI & Data Engineer, you will be responsible for architecting and maintaining the organization’s data lakehouse, data pipelines, and AI/ML integration strategies. You will lead the development and deployment of scalable AI-driven solutions, utilizing advanced SQL, Python, Spark, and ETL tools to manage and refine complex data ecosystems. Your role will involve building and optimizing AI-ready data pipelines, enhancing data models to support machine learning workflows, and troubleshooting performance issues within the data infrastructure. Collaboration is key as you work closely with business stakeholders, analytics teams, and junior developers to translate organizational needs into innovative data solutions. Additionally, you will provide technical mentorship, conduct peer reviews, lead data model walkthroughs, and foster a culture of continuous learning within the Data & Analytics team. This role supports enterprise-wide AI adoption, automates analytics processes, and implements Agile and DevOps practices to drive efficiency and scalability.

Company Culture and Environment

We prioritize a culture of continuous learning and collaboration. Our team values mentorship, innovation, and the sharing of knowledge to foster professional growth.

Career Growth and Development Opportunities

You will have the chance to provide coaching and peer reviews while leading initiatives that enhance your skills and those of your colleagues. Opportunities for professional development are supported, ensuring ongoing career advancement.

Detailed Benefits and Perks

We offer a dynamic work environment that encourages growth and creativity, with a focus on implementing Agile and DevOps practices for efficiency. Technical mentorship and skill enhancement are integral to our team ethos.

Compensation and Benefits

• Competitive salary based on experience
• Health, dental, and vision insurance
• Retirement savings plan with company matching
• Generous vacation and paid time off policy
• Flexible working hours
• Opportunities for professional development and continuous learning

Why you should apply for this position today

This role offers a unique opportunity to be at the forefront of AI and data management within a collaborative environment. You will directly impact the efficiency and scalability of our analytics processes while working with advanced technologies.

Skills

• Advanced knowledge of SQL, Python, Spark, and ETL tools
• Advanced knowledge of cloud-based solutions (OCI, AWS, etc.)
• Advanced knowledge of data warehousing, data lakes, and Oracle Fusion Analytics
• Proven experience implementing AI-driven analytics and automation tools
• Understanding of machine learning and AI applications
• Strong understanding of data governance and metadata management practices
• Proficiency in Agile and DevOps practices
• Ability and willingness to serve as a mentor to other Data & Analytics staff

Responsibilities

• Architect and maintain the organization’s data lakehouse and data pipelines
• Lead the development of scalable AI-driven solutions
• Build and optimize AI-ready data pipelines for machine learning workflows
• Troubleshoot performance issues within the data infrastructure
• Work closely with stakeholders to translate needs into data solutions
• Provide technical mentorship and conduct peer reviews
• Foster a culture of continuous learning within the team

Qualifications

• Graduation from a four-year accredited university/college with a bachelor’s degree in business, technology, data management, or a related field and a minimum of five years of experience in data management or a related field OR
• Graduation from a two-year accredited university/college or technical institute with a degree/certification in business, technology, data management, or a related field and a minimum of seven years’ experience in data management or a related field OR
• An equivalent combination of education, training, or experience as defined above.

Education Requirements

• Bachelor’s degree in business, technology, data management, or a related field
• Alternatively, a degree/certification from a two-year accredited university/college or technical institute

Education Requirements Credential Category

• Data Science & AI for Analytics Certification (AI Certification)
• Cloud Certification (Oracle Cloud Infrastructure or similar) OR
• Data Engineering Certification (OCI/AWS/Databricks/Similar)

Experience Requirements

• Minimum of five years of experience in data management or a related field (with a four-year degree)
• Minimum of seven years of experience in data management or a related field (with a two-year degree)

Why work in Fayetteville, NC

Fayetteville offers a rich cultural experience with a welcoming community and a growing tech environment. Enjoy access to beautiful parks, a thriving arts scene, and diverse culinary options, all while being part of a dynamic and innovative workplace.