The Role
Design, implement, and optimize AWS cloud storage solutions (S3, EBS, EFS, FSx, Glacier) and lead Data Lake/Data Mesh architecture and large-scale migrations from on-premises storage. Provide technical guidance, performance tuning, lifecycle management, documentation, and collaborate with cross-functional teams in a regulated/federal environment.
Summary Generated by Built In
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.
Supervisory Responsibilities None
Essential functions/responsibilities
Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.
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.
Information Security and Confidentiality Obligations
Basic Qualifications
Preferred Qualifications
Work authorization/security clearance requirements
Travel required Yes
Proficiency Requirement
Supervisory Responsibilities None
Essential functions/responsibilities
Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.
- 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.
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.
Information Security and Confidentiality Obligations
- Ensure adherence to organizational information security policies and procedures; actively participate in mandatory security awareness training; and manage confidential and sensitive information in accordance with company protocols and data protection standards.
Basic Qualifications
- 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.
Preferred Qualifications
- 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.
Work authorization/security clearance requirements
- Ability to obtain a security clearance
- This work is normally completed in a telework environment with occasional travel to the client site.
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to access and navigate each department at the organizations and client facilities.
Travel required Yes
Proficiency Requirement
- The employee is expected to demonstrate proficiency in all essential job functions, tools, and processes related to this position within the first 90 days of employment. This includes acquiring a thorough understanding of job-specific responsibilities, systems, and workflows as outlined during onboarding and training. Failure to meet this requirement may result in additional training, reassessment, or other actions as deemed necessary by management.
Top Skills
Aws S3,Amazon Fsx,Amazon Glacier,Amazon Ebs,Amazon Efs,Data Lake,Data Mesh,San,Nas,Tape Libraries,Kubernetes,Kubernetes Persistent Volumes,Csi Drivers,Terraform,Cloudformation,Aws Lambda,Azure Blob Storage,Google Cloud Storage
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The Company
What We Do
GAMA-1 is a highly-technical Certified Small Disadvantaged Business with a mature service delivery model. We combine industry and government standards with established GAMA-1 methodologies to develop, engineer, secure, implement, and maintain IT solutions and services. We refine our methods through continuous process improvement and hold International Organization of Standards (ISO) 9001 (Quality), ISO 20000 (ITSM), and ISO 27001 (Security) certifications. We train our staff on IT Infrastructure Library (ITIL) v4 and apply Capability Maturity Model Integration (CMMI) Services Level 3 processes.
GAMA-1 is proud to be Certified™ by Great Place to Work® for two consecutive years. This prestigious award is based entirely on what current employees say about their experience working at GAMA-1 Technologies. This year, 97% of employees said it’s a great workplace compared to 57% of typical U.S.-based company employees.
