Data Architect

At MetaPhase, we believe Quirky is Cool and being authentic is the only way to be!  We take the work we do very seriously and do a lot of important mission-focused work for our clients. We are individuals with different passions and strengths who take as much joy in the work we do as from those we work with. Today, we have a team that is invested in creating new solutions that lean forward, challenge the status quo, but also reflect our intimate knowledge of our customers’ business. Over the years we have fostered a culture in which we are united by shared values—passion, solidarity, generosity, curiosity, and boldness—and these come alive in the work we do and how we do it.      Together, we know our people are our difference—for our clients and our colleagues.     Are you ready to: 

• Work alongside a dedicated and diverse set of people to offer honest advice and practical guidance to our clients?  
• Learn and grow by taking advantage of every opportunity available to you?  
• Join a company which prides itself on its shared values and inclusive culture?   
• Be the difference and make it happen? 

 Role Summary MetaPhase is seeking an experienced Data Architect with eight or more (8+) years of experience to support a high-impact federal transportation security program. This role will help design, implement, and govern secure, scalable data solutions that move mission-critical operational data between fielded security technology, enterprise applications, analytics platforms, and cloud or on-premise environments.   The ideal candidate brings deep experience architecting complex data ecosystems, implementing event-driven data movement using Apache Kafka, applying Open Architecture principles, and managing data across operational technology (OT) and information technology (IT) environments. This position requires someone who can work across federal stakeholders, solution architects, engineers, cybersecurity teams, OEM partners, and agile delivery teams to transform operational data into reliable, governed, actionable mission insight.  What You Will Be Doing  

• Leading the design and implementation of enterprise data architecture for a mission-critical federal system, including conceptual, logical, and physical data models.   
• Architecting secure data movement between fielded operational systems, enterprise applications, reporting platforms, databases, and cloud or on-premise environments.   
• Designing and implementing Apache Kafka-based event streaming, publish/subscribe data patterns, schemas, topics, producers, consumers, and integration patterns.   
• Applying Open Architecture principles, including modular design, standards-based interfaces, reusable services, open-source frameworks, and interoperable data exchange.   
• Supporting data management across both on-premise data centers and government-approved cloud environments, including hybrid cloud migration and failover considerations.   
• Designing data pipelines that support ingestion, validation, transformation, aggregation, correlation, archival, reporting, and analytics.   
• Supporting modernization from legacy database environments to SQL Server or other approved target platforms.   
• Defining and maintaining data artifacts such as Data Management Plans, Data Flow Diagrams, data dictionaries, interface specifications, data models, and traceability documentation.   
• Partnering with cybersecurity, enterprise architecture, infrastructure, and application teams to ensure data solutions meet federal security, governance, and compliance requirements.   
• Working with OEMs, system integrators, and federal stakeholders to support data exchange between OT endpoints and IT enterprise systems.   
• Supporting Agile, DevSecOps, SELC, release management, testing, and documentation activities across the delivery lifecycle.   
• Monitoring and improving data quality, completeness, accuracy, availability, and performance across mission-critical systems.   
• Translating complex technical concepts into clear recommendations for technical and non-technical stakeholders.   

What We Need From You (Required) 

• Minimum of eight or more (8+) years of experience in data architecture, data engineering, database engineering, enterprise architecture, systems integration, or related technical roles.   
• Demonstrated experience managing data across both on-premise and cloud environments.   
• Hands-on experience implementing Apache Kafka or comparable event streaming technologies in enterprise environments.   
• Experience designing event-driven, publish/subscribe, or data-fabric architectures.   
• Experience applying Open Architecture princi