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.