Big Data Storage Subject Matter Expert III

We are seeking an experienced and highly skilled Cloud Storage Subject Matter Expert (SME) to join our growing cloud engineering team. 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 patternsSupervisory Responsibilities NoneEssential functions/responsibilitiesReasonable 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.Information Security and Confidentiality ObligationsEnsure 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 standardsBasic Qualifications (education and years of experience here)Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).5 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 environmentsProven 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 QualificationsAWS 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 requirementsAbility to obtain a security clearance (Public Trust, Secret, or higher, depending on contract)Work environmentThis work is normally completed in a telework/hybrid/client location/headquarters environment with occasional trips to the headquarters office in Greenbelt, MD.GAMA-1 also offers a variety of benefits, including health insurance coverage, life and disability insurance, 401(k) savings plan, training and career development opportunities, paid holidays and paid time off (PTO - to cover vacation, illness or disability, appointments, emergencies or other situations that require time off from work). For more information click here.ABOUT GAMA-1GAMA-1 is a rapidly growing technology business that is based in Greenbelt, Maryland. GAMA-1 Technologies provides strategic information assurance, information security, and business enterprise and networking solutions to the Federal Government. Our success is based on the utilization of industry and agency standards, establishment of standardized processes, and IT Services expertise. At GAMA-1, we believe employees should grow, achieve, and develop just as the company grows, achieves, and develops. GAMA-1 is committed to providing our employees with opportunities for career advancement throughout their employment. For more information, visit www.gama1tech.comGAMA-1 is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics), domestic violence victims, political orientation, status as a smoker or tobacco user, hairstyle, use of a service animal, education status, familial status, HIV/AIDS status, height, weight, reproductive healthcare decisions or any other category protected by federal, state or local law.

Salary : $80 - $90