
Enterprise • Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
October 3

Enterprise • Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
• Create detailed and accurate documentation required for AWS Competencies, following the guidelines and requirements provided by AWS. • Review and understand the competency requirements from the AWS Generative AI Competency Self-Assessment provided, ensuring all documentation aligns with AWS standards. • Produce high-quality technical documentation, including architecture diagrams, best practices, and implementation guides, that convey complex technical concepts. • Work closely with engineering, product, and sales teams to gather the necessary information and ensure documentation meets the needs of various stakeholders. • Contribute to achieving AWS Competencies by preparing and submitting detailed documentation required for competency applications and audits. • Stay up-to-date with the latest AWS services and features and continuously improve documentation to reflect new capabilities and best practices.
• Bachelor's degree in Computer Science, Information Technology, or a related field. • 2+ years of experience as an AWS Solutions Architect or in a similar role, with a strong focus on technical writing and documentation. • Proficiency in AWS services, particularly Amazon Kinesis, AWS Life Sciences, and AWS Financial Services. • Strong understanding of data engineering principles and best practices. • Experience with creating architecture diagrams and technical documentation. • Excellent written and verbal communication skills. • Strong analytical and problem-solving abilities. • Detail-oriented with a commitment to producing high-quality documentation. • Ability to work independently and collaboratively in a fast-paced environment. • Certifications: AWS Certified Solutions Architect – Associate or Professional preferred.
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