Big Data Architect IV

About the position GAMA-1 is seeking an experienced and highly skilled Big Data Architect IV to join our growing cloud engineering team in a telework environment. The ideal candidate will possess deep expertise in various cloud storage solutions, with a strong focus on Amazon Web Services (AWS) technologies such as S3, Amazon FSx, and Glacier. A deep understanding and experience with the principles of Data Lake/Mesh architecture is essential for success in this role. The SME will be responsible for designing, implementing, and optimizing our cloud storage infrastructure to ensure scalability, security, cost-effectiveness, and alignment with modern data architecture patterns. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Responsibilities

• Act as a subject matter expert for big data and enterprise storage solutions, including structured and unstructured data.
• Develop and maintain the cloud storage architecture roadmap, focusing on scalability, security, and cost-efficiency using AWS storage services (e.g., S3, EBS, EFS, Glacier, FSx).
• Design, implement, and optimize AWS storage services (e.g., Amazon S3, EBS, EFS, FSx, Glacier) for scalability, performance, and cost efficiency.
• Support architecture and operations of data lakes, data warehouses, data mesh and hybrid cloud storage environments.
• Lead the design and implementation of Data Lake and Data Mesh architectures, ensuring optimal data ingestion, storage, and access patterns.
• Drive and execute the migration of large-scale on-premises storage solutions (e.g., SAN, NAS, tape libraries) to cloud-native storage services.
• Provide guidance on data lifecycle management, backup, recovery, retention, and archiving strategies.
• Evaluate new cloud storage technologies and features, making recommendations for adoption to enhance business capabilities.
• Provide subject matter expertise and technical guidance to infrastructure, DevOps, and data engineering teams on best practices for cloud storage optimization, governance, and disaster recovery.
• Collaborate with data engineering, analytics, infrastructure, and cybersecurity teams to support mission objectives.
• Troubleshoot complex storage, performance, and availability issues.
• Develop and maintain technical documentation, diagrams, and standard operating procedures.
• Provide technical mentoring and knowledge sharing to team members.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• 8+ years of experience in big data storage, data infrastructure, or enterprise storage environments.
• Hands-on experience with AWS, including designing and managing cloud-based storage solutions.
• Extensive experience with modern data architectures, including designing, implementing, and optimizing Data Lake and Data Mesh environments.
• Proven track record of successfully planning and executing complex migration projects from on-premises storage to cloud storage services.
• Deep understanding of storage architecture principles, including block, file, and object storage, and experience designing solutions for high-performance and high-availability.
• Knowledge of storage performance tuning, capacity planning, and high availability.
• Experience working in federal government or regulated environments.
• Strong communication skills and the ability to support technical and non-technical stakeholders.
• Ability to obtain a security clearance

Nice-to-haves

• AWS certifications (e.g., AWS Certified Solutions Architect – Associate or Professional) - AWS Certified Storage - Specialty certification or equivalent.
• Experience with container storage solutions (e.g., Kubernetes Persistent Volumes, CSI drivers).
• Experience with hybrid cloud or cloud migration initiatives.
• Familiarity with DevSecOps and Infrastructure as Code tools (e.g., Terraform, CloudFormation).
• Prior experience supporting federal contracts.
• Experience with other public cloud providers' storage solutions (Azure Blob Storage, Google Cloud Storage).
• Familiarity with serverless technologies (AWS Lambda) for data processing and storage events.

Benefits

• health insurance coverage
• life and disability insurance
• 401(k) savings plan
• training and career development opportunities
• paid holidays
• paid time off (PTO - to cover vacation, illness or disability, appointments, emergencies or other situations that require time off from work)

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