Data Architect - REMOTE (25679)

Data Architect - REMOTE (25679)

Must live in the United States Duties:

•  Developing and overseeing the data architecture strategy, ensuring the successful integration and management of data across the lake house infrastructure
•  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. Education Qualification:
•  Bachelor's Degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline is required. General Experience:
•  At least Fifteen (15) years of experience in architecting on-prem/cloud based multi user environments with expertise in planning, designing, building, and implementing IT application modernization/implementation effort.
•  Proven experience as a Data Architect, with a focus 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, data governance, and data 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.

Data Architect - REMOTE (25679)
Must live in the United States

Duties:

•  Developing and overseeing the data architecture strategy, ensuring the successful integration and management of data across the lake house infrastructure
•  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.

Education Qualification:

•  Bachelor's Degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline is required.

General Experience:

•  At least Fifteen (15) years of experience in architecting on-prem/cloud based multi user environments with expertise in planning, designing, building, and implementing IT application modernization/implementation effort.
•  Proven experience as a Data Architect, with a focus 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, data governance, and data 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.