Provectus
Artificial Intelligence • SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
Senior Data Solutions Architect, AWS
Job not on LinkedIn
October 20
Provectus
Artificial Intelligence • SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
📋 Description
• Lead complex, high-impact customer engagements focused on AWS Data Platform solutions. • Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency. • Collaborate with the sales team during the pre-sales process by providing technical expertise. • Build and maintain strong relationships with key customer stakeholders. • Oversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams. • Stay abreast of the latest developments in AWS, Databricks, data engineering, and cloud technologies. • Collaborate with AI/ML teams to integrate advanced analytics and machine learning capabilities.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS. • Proven experience in designing and implementing large-scale data engineering solutions on AWS. • Experience with Databricks is a plus. • Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS. • Proficient in programming languages like Python, SQL, and Scala. • Experience with data warehousing, ETL processes, and real-time data streaming. • Familiarity with open-source technologies and tools commonly used in data engineering. • AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus. • Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. • Strong leadership and project management skills. • Ability to work collaboratively in a cross-functional team environment.
🏖️ Benefits
• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities
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