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Tech Stack
Tools & technologiesAirflowAWSAzureCloudGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Lead the definition and evolution of enterprise data architecture supporting L-CAP
- Architect and govern data mesh-aligned solutions, enabling domain-driven data ownership and interoperability
- Develop and oversee conceptual, logical, and physical data models for complex, mission-critical systems
- Define architecture for hybrid cloud data environments, integrating on-premises and cloud platforms (AWS, Azure, or GCP)
- Provide technical leadership for real-time and batch data pipelines, integration frameworks, and data services
- Establish and enforce data governance, metadata management, and data quality standards at enterprise scale
- Partner with senior stakeholders, systems engineers, and product leadership to align data strategy with mission objectives
- Ensure architecture compliance with security, safety, and regulatory requirements for air traffic systems
- Guide and influence Agile Release Trains (ARTs), contributing to SAFe ceremonies and cross-team architectural alignment
- Evaluate and drive adoption of emerging technologies and architectural patterns to enhance platform capabilities
- Mentor architects and engineers, fostering best practices in data architecture, DataOps, and engineering excellence
Requirements
What you’ll need- Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field (or equivalent experience)
- 12+ years of relevant experience (10+ years with a Master's degree); particularly in data architecture, data engineering, or enterprise data platforms
- Demonstrated experience operating at a Principal or Lead Architect level on large, complex programs
- Deep expertise in distributed data architectures and large-scale data systems
- Advanced proficiency in data modeling (conceptual, logical, physical)
- Strong experience with hybrid cloud architectures and modern data platforms
- Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala)
- Hands-on experience with data integration and streaming/batch processing technologies (e.g., Spark, Kafka, Airflow, or similar)
- Strong understanding of data governance, data quality, and metadata management frameworks
- Experience working within Scaled Agile (SAFe) or similar Agile frameworks
- Proven ability to influence technical direction and communicate effectively with executive and technical stakeholders
- Ability to obtain and maintain a Public Trust U.S. citizenship required
Benefits
Comp & perks- Competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
ATS Keywords
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Hard Skills & Tools
data architecturedata modelingSQLPythonJavaScaladata integrationstreaming processingbatch processingdata governance
Soft Skills
technical leadershipmentoringinfluencingcommunicationcollaborationstakeholder managementbest practicesAgile methodologiesproblem-solvingstrategic alignment
Certifications
Bachelor’s degreeMaster's degreePublic Trust clearance