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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Data Architecture, focusing on scalable cloud solutions and frameworks. Proficient in cloud economics, data security, and compliance, with a strong ability to lead cross-functional collaboration and implement innovative data strategies.
Highest-signal resume keywords
Data ArchitectureCloud Architecture (AWS, Azure, Google Cloud)Apache Spark or DatabricksData Security and ComplianceCloud Economics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Platforms and TechnologiesScalable Computing InfrastructureSelf-Service Cloud FrameworksMachine LearningGenerative AIContainerized ArchitecturesServerless ArchitecturesData GovernanceMicroservicesAPIs
Soft Skills
CommunicationCollaborationStakeholder ManagementLeadership
Tools & Technologies
DockerKubernetesAWS LambdaAzure FunctionsBI Tools
Industry Keywords
ManufacturingAviation & AerospaceFinOpsRegulatory AlignmentData Science
Tech Stack
Tools & technologiesApacheAWSAzureCloudDockerKubernetesMicroservicesSpark
About the role
Key responsibilities & impact- Lead and execute the strategy to build highly reliable and scalable data and analytics cloud platforms
- Lead the creation and implementation of repeatable and reusable frameworks for Data and AI solutions
- Establish architecture best practices, standards, and guidelines across the organization
- Lead, design, and implement self-service frameworks that enable business units to develop compliant solutions
- Develop cloud economics frameworks to monitor and analyze cloud costs and support financial decision-making
- Develop hands-on Proofs of Concept and Minimum Viable Products for critical capability needs
- Own communication and collaboration channels for assigned projects, including stakeholder review meetings, cross-team alignment, and technical research studies
- Establish working relationships with technology and consulting vendors, partners, and cross-functional teams and hold them accountable
- Stay current with trends and best practices in Cloud and Data architecture tools and technologies
- Collaborate with cross-functional teams to understand business requirements and translate them into highly reliable, scalable, secure, and cost-effective solution designs
Requirements
What you’ll need- 10+ years of experience in Data Architecture relating specifically to Data platforms and technologies
- 5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
- 5+ years of experience working with Apache Spark or Databricks
- 5+ years of experience building repeatable, reusable, and self-service cloud and data architecture frameworks
- 5+ years of experience in data security, governance, and compliance, including encryption, role-based access, metadata management, and regulatory alignment (FedRAMP, NIST, GDPR)
- 5+ years of experience modernizing legacy technology to cloud native and refactoring monoliths to microservices using DDD, event storming, strangler fig, transitional architectures, and related techniques
- 3+ years of experience in cloud economics, FinOps, or IT compliance roles
- 3+ years of experience designing solutions using Machine Learning, Generative AI, Agentic AI, deep learning, optimization, and other advanced AI techniques
- Preferred: Bachelor of Science or greater from an accredited course of study in engineering, computer science, mathematics, physics, chemistry, or another technical degree
- Preferred: 5+ years of experience in manufacturing or Aviation & Aerospace industries
- Preferred: 3+ years of experience developing enterprise data ontologies and semantic models
- Preferred: 3+ years of experience building containerized and serverless architectures using Docker, Kubernetes, AWS Lambda, and Azure Functions
- Preferred: 2+ years of experience implementing self-service analytics platforms using modern BI tools and APIs
- Preferred: 3+ years of experience in Data Science, Statistics, Machine Learning, and GenAI
- Preferred: 3+ years of experience in application integration, APIs, and Microservices
- Successful candidates must satisfy the Company’s Conflict Of Interest assessment process
- Must meet U.S. export control compliance requirements and qualify as a U.S. Person under 22 C.F.R. §120.62
- Employer will not sponsor applicants for employment visa status
- Post-offer applicants and employees are subject to drug testing when criteria are met
- Language Requirements: Not Applicable
- Education: Not Applicable
- This position does not require a Security Clearance
Benefits
Comp & perks- Competitive base pay
- Variable compensation opportunities
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid time away from work
- Unpaid time away from work
- Relocation assistance is not a negotiable benefit for this position