AWS Data Architect

Unisoft Technology - Maryland City, MD

Full-time - Senior

Maryland City, MD

Professional, Scientific, and Technical Services

About the position

We seek a highly skilled and experienced senior data architect to play a key role in designing, implementing, and optimizing our client platform. As the senior data architect, you will be responsible for developing and overseeing the data architecture strategy, ensuring the successful integration and management of data across the lake house infrastructure. This position offers an exciting opportunity to work with cutting-edge technologies, lead architectural decisions, and contribute to our organization's data-driven success. In this role, you will 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. You will define and enforce data governance principles, standards, and best practices to ensure data quality, security, and compliance with relevant regulations. Additionally, you will design and implement efficient data integration processes, enabling seamless data flow between diverse data sources and the data lake infrastructure. Collaboration is key in this position, as you will work closely 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. You will also implement metadata management solutions to enhance data discoverability, lineage, and cataloging within the data lake house. Security is paramount, and you will develop and enforce security measures to protect sensitive data, adhering to industry best practices and AWS security standards. As a leader, you will guide and mentor junior data architects and collaborate 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. Maintaining comprehensive documentation of the data architecture, including architectural diagrams, design specifications, and data flow processes, will also be part of your responsibilities. Staying informed about the latest AWS services and data-related technologies, you will assess their potential value and recommend their adoption as appropriate. Continuous evaluation of the effectiveness of the data architecture will be essential, identifying opportunities for enhancement and driving improvements to meet evolving business needs.

Responsibilities

• 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.
• Define and enforce data governance principles, standards, and best practices to ensure data quality, security, and compliance with relevant regulations.
• Design and implement efficient data integration processes, enabling seamless data flow between diverse data sources and the data lake infrastructure.
• 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.
• Implement metadata management solutions to enhance data discoverability, lineage, and cataloging within the data lake house.
• Develop and enforce security measures to protect sensitive data, adhering to industry best practices and AWS security standards.
• 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.
• Maintain comprehensive documentation of the data architecture, including architectural diagrams, design specifications, and data flow processes.
• Stay informed about the latest AWS services and data-related technologies, assessing their potential value and recommending their adoption as appropriate.
• Continuously evaluate the effectiveness of the data architecture, identifying opportunities for enhancement and driving improvements to meet evolving business needs.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field; Master's degree is a plus.
• 16+ 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 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.

Nice-to-haves

• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Data Analytics - Specialty, or AWS Certified Big Data - Specialty.