Data Architect

Design and maintain enterprise data architecture aligned with business objectives, IT strategy, and operational needs

• Develop conceptual, logical, and physical data models supporting enterprise applications, analytics platforms, and data warehouse / lakehouse environments
• Architect and guide the implementation of scalable data pipelines, integration frameworks, and lakehouse solutions
• Establish and promote data architecture standards, best practices, and governance frameworks across the organization
• Evaluate and recommend modern data technologies, cloud platforms, and data tools to improve performance, scalability, and reliability
• Partner with application, cloud, infrastructure, and engineering teams to ensure cohesive system and data design
• Collaborate with governance and security teams on metadata management, lineage tracking, master data management (MDM), and data quality
• Translate business requirements into scalable technical data solutions and provide architectural oversight through development, testing, and deployment
• Conduct architecture reviews, audits, and refactoring initiatives to continuously improve the health and maturity of the data ecosystem
• Optimize database and platform performance, scalability, and cost efficiency across cloud and on-prem environments
• Coach and mentor development teams on integration best practices, design patterns, and architectural decisions

5+ years of hands-on software development experience with progression into architecture or technical leadership

• Strong programming skills - this role includes both architecture and active development
• Deep expertise in SQL and NoSQL database technologies and modern data storage architectures
• Proven experience designing and implementing ETL/ELT pipelines and data integration frameworks
• Strong knowledge of data lake and data warehouse architectures, including modern lakehouse patterns
• Hands-on experience designing solutions on cloud data platforms, preferably within the Azure ecosystem
• Experience with real-time data streaming technologies such as Kafka or Azure Event Hubs
• Deep understanding of data integration patterns, methodologies, and best practices at enterprise scale
• Experience integrating with multiple enterprise systems, APIs, and data sources with security and scalability in mind
• Solid knowledge of data governance, metadata management, lineage tracking, and data quality frameworks
• Understanding of AI/ML data pipelines and feature store architectures supporting advanced analytics and machine learning
• Deep understanding of data modeling methodologies and experience using data modeling and diagramming tools
• Strong communication skills - ability to translate complex technical concepts for both technical and non-technical stakeholders
• U.S. citizenship (required for federal contract)

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PREFERRED QUALIFICATIONS

• Familiarity with modern data and analytics platforms: Power BI, Microsoft Fabric, Databricks, Snowflake, Synapse, BigQuery, or Cosmos DB
• C# / .NET development background
• Azure Data Engineer or Azure Data Architect certification
• Experience working with cross-functional teams across engineering, analytics, and business functions

StaffRight Associates specializes in placing experienced technology professionals into high-caliber, direct hire roles across the country. We work closely with both our clients and our candidates to ensure long-term fit - not just a resume match.