Description:

Provectus is a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning.
The company focuses on helping businesses unlock the power of their data by leveraging the latest technologies to build innovative data platforms.
The Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.
As a Senior Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for clients.
You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.
Responsibilities include leading high-impact customer engagements focused on AWS Data Platform solutions, defining technical strategies, architecting scalable data platforms, and integrating AWS services with other solutions.
You will also partner with the sales team for pre-sales activities, build relationships with customer stakeholders, oversee project delivery, and promote best practices in data platform architecture.

Requirements:

You must have experience in data solution architecture.
Proven experience in designing and implementing large-scale data engineering solutions on AWS is required.
Experience with Databricks, GCP, or Azure solutions is necessary.
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS is essential.
Proficiency in programming languages like Python, SQL, and Scala is required.
You should have experience with data warehousing, ETL processes, and real-time data streaming.
Familiarity with open-source technologies and tools in data engineering is expected.
An AWS Certified Solutions Architect – Professional (or similar) certification is required.
Excellent communication and presentation skills are necessary to convey complex technical concepts to non-technical stakeholders.
Strong leadership and project management skills are essential.
You must be able to work collaboratively in a cross-functional team environment.

The position offers the opportunity to work remotely from Serbia, Poland, or Yerevan, Armenia.
You will be part of a dynamic team that is passionate about AI/ML technologies and data engineering.
There are opportunities for mentorship and knowledge sharing, fostering a culture of continuous learning and professional development.
You will have the chance to contribute to innovative projects and stay up-to-date with the latest developments in cloud technologies.
The role includes the potential for career advancement within a leading AI consultancy.