Senior Data Solutions Architect with AWS Jobs

Provectus

Location:
Serbia, Yerevan

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

Provectus, 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.

Job Responsibility:

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions
Build and maintain strong relationships with key customer stakeholders, serving as a trusted advisor on data platform initiatives
Lead discovery workshops to understand customer requirements, KPIs, and technical constraints
Oversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams to ensure successful delivery
Manage technical risks and develop mitigation strategies to address potential challenges
Stay abreast of the latest developments in AWS, Databricks, data engineering, and cloud technologies
Develop and promote best practices in data platform architecture, data pipelines, and data governance
Collaborate with AI/ML teams to integrate advanced analytics and machine learning capabilities into AWS and other cloud platforms
Work with DevOps teams to implement CI/CD pipelines and automation for data workflows
Mentor junior architects and engineers, fostering a culture of continuous learning and professional development
Contribute to knowledge-sharing initiatives, including writing technical blogs, case studies, and presenting at industry events
Ensure that AWS-based data platform solutions comply with relevant security standards and regulations
Implement data governance frameworks to maintain data quality and integrity

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

Nice to have:

Certifications in Databricks
Experience with AWS Migration Acceleration Programs (MAP)
Experience with AI/ML integration in data platforms
Contributions to open-source projects or active participation in the data engineering community

Additional Information:

Job Posted:
December 11, 2025

View All Jobs In This Company

Job Link Share:

Senior Data Solutions Architect with AWS