Data Solutions Architect

Data Solutions Architect

We are seeking an experienced Data Solutions Architect to design and lead enterprise-scale data solutions and define modern data architecture strategies. The role will focus on data modeling, data platforms, integration, governance, analytics, and scalable architectures that support automation and AI initiatives.

The architect will partner with business and technology stakeholders to translate business requirements into scalable solutions, establish architectural standards, evaluate emerging technologies, and guide the organization toward future-state data platforms.

Roles and Responsibilities

• Design and architect enterprise-scale data solutions from concept through implementation.
• Lead data architecture, data modeling, data warehousing, and modern data platform initiatives.
• Develop scalable frameworks for data quality, governance, validation, security, and auditing.
• Define data strategies, architecture roadmaps, standards, and reusable architecture patterns.
• Design data integration solutions supporting analytics, reporting, operational systems, and enterprise applications.
• Create architecture patterns that enable automation, AI/ML initiatives, and future-state data platforms.
• Evaluate emerging data technologies and recommend solutions aligned with business and technology objectives.
• Partner with business leaders, data engineers, developers, analysts, and technology teams to define solution requirements and architecture.
• Provide technical leadership and guidance throughout solution design, implementation, and architectural decision-making.
• Identify architectural risks, dependencies, and opportunities for optimization and modernization.
• Serve as a trusted advisor to stakeholders and ensure solutions are scalable, secure, maintainable, and aligned with enterprise standards.

Required Qualifications

• 8+ years of experience in data architecture, solutions architecture, data engineering, or related disciplines.
• Strong experience with data modeling, data warehousing, data integration, and enterprise data architecture.
• Experience designing scalable data platforms and architecture frameworks.
• Strong understanding of data governance, data quality, metadata, validation, and auditing.
• Experience with cloud data platforms and modern data architecture patterns.
• Knowledge of analytics, reporting, APIs, ETL/ELT, and enterprise integration.
• Experience developing architecture roadmaps, standards, and reusable design patterns.
• Strong communication and stakeholder management skills with the ability to influence technical and business decisions.

Preferred Qualifications

• Experience with AI/ML and AI-enabled data platforms.
• Knowledge of modern data lake, data warehouse, and lakehouse architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data governance and security frameworks.
• Experience leading enterprise data modernization initiatives.