Data Architect | $150k+

Feldspar \& Flint LLC is a Recruiting \& Staffing firm that specializes in operational strategy across core business functions.

Our client is seeking an Enterprise Data Architect to drive the evolution of its data landscape as it transitions from legacy on-premise systems to a modern Azure-based environment. This role will be instrumental in shaping how data is structured, integrated, and leveraged across the enterprise, enabling real-time insights and enhanced customer intelligence across high-transaction business lines.

Key Responsibilities

• Define and execute the enterprise data architecture roadmap, supporting a large-scale migration to a cloud-native Azure platform
• Architect scalable data solutions that enable real-time analytics, reporting, and cross-platform data accessibility
• Design and implement modern data pipelines, including streaming frameworks, API-based ingestion, and event-driven processing
• Collaborate with engineering teams to establish and enhance integration capabilities using platforms such as MuleSoft or equivalent technologies
• Establish enterprise-wide standards for data governance, architecture patterns, and security best practices
• Enable advanced analytics initiatives by building data environments that support machine learning and AI-driven use cases
• Translate business requirements into technical architecture, partnering closely with both technology and operational leadership
• Continuously improve data performance, reliability, and cost efficiency across platforms and pipelines
• Assess and introduce emerging technologies and architectural approaches, including data mesh and next-generation data frameworks
• Provide technical mentorship and help build best practices within a growing data and engineering function

Qualifications

• 8\+ years of experience in data architecture, data engineering, or related disciplines
• Demonstrated experience leading or supporting cloud transformation initiatives, particularly migrations from on-premise environments
• Strong expertise in Microsoft Azure data services and cloud architecture design
• Hands-on experience with real-time data processing, API integrations, and distributed data systems
• Familiarity with integration platforms such as MuleSoft or similar middleware solutions
• Solid understanding of data modeling, warehousing, ETL/ELT processes, and governance frameworks
• Ability to operate autonomously while managing competing priorities in a fast-paced environment
• Strong communication skills with the ability to engage both technical and non-technical stakeholders
• Experience in high-volume, consumer-facing industries (hospitality, entertainment, retail, gaming, etc.) is preferred
• Exposure to complex, multi-entity or multi-location organizations is a plus