Data/Machine Learning Solutions Architect with AWS

Provectus, is a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.

Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.

As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.

• Strategic Technical Leadership:

• Solution Architecture and Design:

• Pre-Sales Activities:

• Customer Engagement and Relationship Management:

• Project Leadership and Delivery:

• Innovation and Best Practices:

• Cross-Functional Collaboration:

• Mentorship and Knowledge Sharing:

• Governance, Compliance, and Security:

• Experience in data solution architecture.
• Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
• Technical sales or pre-sales experience with cloud, Big Data, and ML solutions.
• Proven experience in designing and implementing large-scale data engineering solutions on AWS.
• Experience with Databricks, GCP, or Azure solutions is required.
• Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS.
• Proficiency in any of the backend-related languages: TS, Java, Python, Scala, and others.
• Experience with data warehousing, ETL processes, and real-time data streaming.
• Familiarity with open-source technologies and tools in data engineering.
• Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow).
• Hands-on experience with Kubernetes, Docker, and containerized applications.
• AWS Certified Solutions Architect – Professional (or similar) is required.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Strong leadership and project management skills.
• Ability to work collaboratively in a cross-functional team environment.

• Experience in the Healthcare and Biotech domains.
• Certifications in Databricks, GCP, or Azure.
• Experience with AWS Migration Acceleration Programs (MAP).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Contributions to open-source projects or active participation in the data engineering community.