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Senior Data Solutions Architect with AWS

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Provectus

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Location:
Serbia , Yerevan

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Contract Type:
Not provided

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Salary:

Not provided

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

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