Synectics is seeking a Cloud Data Architect to join our growing team. The qualified applicant will lead the implementation of Cloud solutions, emerging technologies, and innovation initiatives for Enterprise Data Analytics and Services at a federal agency. This is a Hybrid position, and must be able to work onsite in Alexandria, VA, as needed. Position contingent upon customer approval. Responsibilities/Duties: Lead initiatives that span strategy and road map exercises, architecture definition, product selection, application and integration design and implementation. Provide advisory and thought leadership on providing analytics environments leveraging cloud-based platforms and big data technologies, including integration with existing data and analytics platforms and tools. Design and implement scalable data architectures leveraging AWS and emerging technologies, covering on-premises and cloud-based deployment patterns. Experience in providing Data Analytics solutions in the AWS cloud using AWS native services (EMR, Redshift, Athena, Lambda), Apache Spark, and using Python or R. Experience designing and implementing Data Lake and migrating on-premises Datawarehouse and applications into AWS Cloud. Define, design, and implement data access patterns for multiple analytical and operational workloads across on-premises and cloud-based platforms. Create information solutions covering data security, privacy, governance, metadata management, multi-tenancy, and mixed workload management across various platforms, spanning on-premises and cloud-based deployments. Delivery of customer Cloud Strategies, aligned with customer's business objectives and with a focus on Cloud Migrations, ensuring global to local regulations, security, risk, and compliance. Provide leadership on the reporting, analysis, technology, and governance recommendations to accelerate the integration of emerging technologies across the enterprise. This role is an SME for any questions about infrastructure, security, etc. Desired Skills: Be familiar with and have a working knowledge of designing AWS-based frameworks for ETL, data organization, storage, and visualizations. Proficiency and Hands-on Experience in AWS Services like AWS DMS, AWS Textract, EMR, S3, Elasticsearch, AWS Glue, AWS Sagemaker, and AWS Comprehend, Experience working with databases like RDS Oracle, Postgres, NoSQL, Elasticsearch, and AWS Redshift. Knowledge of Python, Spark, bash, and ksh is a plus. Working experience with version control platforms like Bitbucket, GitLab, etc. Experience and Qualifications: 10+ years of experience in Data Analytics, Cloud, and Data Science initiatives Demonstrated knowledge and expertise related to Emerging Technology, such as but not limited to Enterprise Cloud Initiatives and Migration, Artificial Intelligence, Machine Learning, and Robotic Process Automation implementation. Ability to manage multiple priorities, build relationships, and work effectively with internal and external partners. Demonstrated strong collaboration, negotiation, and influencing skills in a highly matrixed organization. Ability to define and effectively articulate solutions (verbally and in writing) and discuss business problems with customers positively influencing outcomes Demonstrated experience defining and articulating enterprise architecture, data management, and strategic vision and translating it into implementable steps for emerging technology operationalization. Possesses strong hands-on development experience and deep technical expertise in Artificial Intelligence and Machine Learning, Advanced Analytics platforms, Digital Platforms, IoT, Augmented Reality/Virtual Reality, and Blockchain platforms. Experience in Micro Services is a plus Education/Certifications: Bachelor's degree in Computer Science, Information Technology/ Systems, or a related field AWS and/or Data Science certifications Clearance Requirements: Ability to attain and maintain a Public Trust Synectics is an equal opportunity employer.