AWS Data Architect - 100% Onsite and In-Person interview in Maryland

• 14+ years of overall IT experience with 6+ years in solution architecture, system design, and data management.
• Proven experience as a Data Architect, focusing on designing and implementing data solutions in AWS cloud environments.
• Extensive knowledge of Snowflake, AWS cloud services, data lake architecture, and big data technologies.
• Strong understanding of data modeling principles, governance, and security practices.
• Demonstrated expertise in designing data integration solutions and optimizing data processing performance.
• Excellent analytical and problem-solving skills, with the ability to make data-driven decisions.
• Leadership skills to guide and mentor junior data architects and collaborate with cross-functional teams.
• AWS certifications, such as AWS Certified Solutions Architect, AWS Certified Data Analytics - Specialty, or AWS Certified Big Data - Specialty, are highly desirable.
• Strong communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders.
• Join our team as a Senior Data Architect, and be at the forefront of architecting our AWS Cloud-based Lake House to enable data-driven innovation and business success!

• Data Architecture Design: Develop and maintain a robust data architecture strategy for the AWS Cloud-based Lake House, encompassing data modeling, data storage, data processing, and data integration across various AWS services, such as S3, Glue, Athena, and Redshift.
• Cloud Data Governance: Define and enforce data governance principles, standards, and best practices to ensure data quality, security, and compliance with relevant regulations.
• Data Integration: Design and implement efficient data integration processes, enabling seamless data flow between diverse data sources and the data lake infrastructure.
• Performance Optimization: Collaborate with data engineers and technical teams to optimize the performance and scalability of the data lake architecture, ensuring high availability and low latency for data access and processing.
• Metadata Management: Implement metadata management solutions to enhance data discoverability, lineage, and cataloging within the data lake house.
• Data Security: Develop and enforce security measures to protect sensitive data, adhering to industry best practices and AWS security standards.
• Collaboration and Leadership: Work closely with cross-functional teams, including data analysts, data scientists, and data engineers, to understand their data requirements and provide technical guidance on data-related initiatives.
• Data Architecture Documentation: Maintain comprehensive documentation of the data architecture, including architectural diagrams, design specifications, and data flow processes.
• Technology Evaluation: Stay informed about the latest AWS services and data-related technologies, assessing their potential value and recommending their adoption as appropriate.
• Continuous Improvement: Continuously evaluate the effectiveness of the data architecture, identifying opportunities for enhancement and driving improvements to meet evolving business needs.

 Duties: 

• Work closely with development teams and customers to design, architect, implement, and support big data solutions. 
• Provide design and development of cloud based solutions and is responsible for technical design and implementation of the architecture.