What are the responsibilities and job description for the AWS Data Architect - Fulltime- Bellevue, WA position at IBU Consulting?
AWS Data Architect
Bellevue, WA
Fulltime
Exp: 9 Yrs.
Ø Data Platform Design: Architect and design end-to-end data platforms that are scalable, secure, and reliable, ensuring they meet the current and future needs of the organization.
Ø AWS Implementation and Maintenance: Lead the implementation and ongoing maintenance of data platforms on AWS, including data warehouses, data lakes, and real-time data processing systems.
Ø AWS Data Integration: Develop and oversee data integration processes on AWS, ensuring seamless data flow across various systems and applications.
Ø Data Quality and Governance: Establish and enforce data quality standards, data governance policies, and best practices to ensure data integrity, accuracy, and compliance.
Ø Performance Optimization: Continuously monitor and optimize the performance, identifying and resolving bottlenecks, and improving system efficiency.
Ø Security and Compliance: Comply with security standards and regulatory requirements, implementing robust security measures to protect sensitive data.
Ø Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand their needs and provide technical guidance and support for data-related projects especially on AWS.
Ø Innovation: Stay current with industry trends and emerging technologies in data architecture, recommending and integrating new tools and methodologies to enhance data platforms on AWS.
Ø Documentation and Training: Develop comprehensive documentation for AWS data platforms and provide training to team members on best practices and new technologies
Bellevue, WA
Fulltime
Exp: 9 Yrs.
Ø Data Platform Design: Architect and design end-to-end data platforms that are scalable, secure, and reliable, ensuring they meet the current and future needs of the organization.
Ø AWS Implementation and Maintenance: Lead the implementation and ongoing maintenance of data platforms on AWS, including data warehouses, data lakes, and real-time data processing systems.
Ø AWS Data Integration: Develop and oversee data integration processes on AWS, ensuring seamless data flow across various systems and applications.
Ø Data Quality and Governance: Establish and enforce data quality standards, data governance policies, and best practices to ensure data integrity, accuracy, and compliance.
Ø Performance Optimization: Continuously monitor and optimize the performance, identifying and resolving bottlenecks, and improving system efficiency.
Ø Security and Compliance: Comply with security standards and regulatory requirements, implementing robust security measures to protect sensitive data.
Ø Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand their needs and provide technical guidance and support for data-related projects especially on AWS.
Ø Innovation: Stay current with industry trends and emerging technologies in data architecture, recommending and integrating new tools and methodologies to enhance data platforms on AWS.
Ø Documentation and Training: Develop comprehensive documentation for AWS data platforms and provide training to team members on best practices and new technologies
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