
Principal, Engineer - Architecture - Enterprise
- Johns Creek, GA
- Permanent
- Full-time
- Establish and enforce enterprise-wide data standards and a consistent approach to data modeling aligned with the organization's overall technology strategy.
- Develop and maintain a strategic data roadmap focused on long-term sustainability, scalability, and operational efficiency.
- Collaborate with executive leadership, product teams, and engineering to ensure data initiatives are aligned with business goals and drive measurable value.
- Lead the evaluation and adoption of cutting-edge technologies for data management, storage, and analytics in partnership with data scientists to implement best practices.
- Define, visualize, and document scalable data frameworks to guide data engineers and data scientists in development and maintenance.
- Drive adoption of modern data architecture patterns, including event-driven architectures, real-time data streaming (e.g., Kafka, Pulsar), and AI-powered analytics.
- Leverage AI to analyze data architectures, uncover patterns, identify gaps, and recommend opportunities for improvement.
- Oversee the design, development, implementation, and maintenance of complex data systems, ensuring full lifecycle data management.
- Build and maintain automated, enterprise-grade data pipelines and transformation processes.
- Partner with Legal, Security, and Data Governance teams to ensure compliance and the standardization of certified data assets.
- Mentor and coach engineers on data tools, technologies, and domain expertise to strengthen technical capability across the team.
- Collaborate with business and technology teams to support analytics execution, enhance data accessibility, and enable self-service insights.
- Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities.
- In addition to the essential duties mentioned above, other duties may be assigned.
- Candidates with a Bachelor's degree or equivalent work experience in a related field are encouraged to apply. 10+ years of experience in data architecture, data engineering, or related fields.
- Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
- Able to work a flexible schedule based on department and company needs.
- Merchandise discounts
- Performance-based incentives
- Annual merit review
- Employee Assistance Program with mental health counseling and legal/financial advice
- Tuition reimbursement