
Data Solutions Architect
Posted Sep 10

Posted Sep 10
This is a fully remote position, open to applicants in Alabama, +1 more state.
• Establish and convey the technical direction for data solutions within designated domains.
• Act as the design authority for major data projects, assessing and approving designs from delivery teams.
• Facilitate alignment across various teams and document architectural decisions made in uncertain situations.
• Develop and execute comprehensive data warehouses, data lakes, and data pipelines.
• Create both logical and physical data models.
• Choose cloud platforms, database technologies, and orchestration tools based on specific use cases, scalability, and cost considerations.
• Convert business goals into technical requirements for data, reporting, and advanced analytics.
• Clarify the cost, risks, time-to-value, and long-term effects of technical alternatives.
• Ensure that data solutions adhere to standards of accuracy, accessibility, governance, and regulatory compliance.
• Design integration patterns for APIs, services, and pipelines.
• Facilitate the use of analytics, BI, and AI through well-documented data products.
• Develop long-term data roadmaps and provide guidance on build-versus-buy and platform choices.
• Design data environments that are secure, scalable, resilient, and monitored.
• Mentor data engineers and junior architects.
• Conduct design reviews and lead architecture working sessions.
• Produce reference architectures, design patterns, decision logs, and other documentation.
• Participate in hiring, technical evaluations, and contribute to the data community of practice.
• A Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
• Extensive progressive experience in data engineering, data architecture, or solution architecture, including significant time in a senior technical or architect-level role.
• Experience acting as a technical leader or design authority for major data initiatives across multiple teams or business domains.
• Proven experience in designing data solutions that facilitate analytics, reporting, or AI/ML applications.
• Practical experience with cloud data platforms and contemporary data technologies.
• A history of influencing technical direction and promoting the adoption of standards or patterns across unmanaged teams.
• Experience working directly with business leaders to prioritize goals, outline trade-offs, and support investment choices.
• Excellent communication skills for articulating technical concepts to non-technical audiences and presenting recommendations to senior leadership.
• Experience mentoring engineers or fellow architects.
• Deep understanding of modern data architectures, including data lakes, data warehouses, and both streaming and batch pipelines.
• Ability to design solutions that integrate data from various systems and domains.
• Familiarity with cloud-native architectures, data security principles, and scalable design patterns.
• Preferred: experience in financial services, insurance, or other regulated sectors.
• Preferred: knowledge of data governance, security, and compliance requirements.
• Preferred: experience in supporting AI, machine learning, or advanced analytics solutions.
• Preferred: a background in agile or product-focused delivery models.
• Preferred: experience with enterprise architecture review boards or similar governance bodies.
• Comprehensive health, dental, and vision insurance.
• Mental health benefits.
• Employee assistance program.
• Paid time off.
• Paid parental leave.
• Short-term disability.
• Cultural observance day.
• Contributions to healthcare accounts.
• Pension plan.
• 401(k) plan with company matching.
• ProHealth Rewards wellness platform offering cash incentives.
• Annual incentives based on individual and company performance.
• Options for remote work.
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