Senior Data Solutions Architect with AWS

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 designs, implements, and optimizes 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: 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.
• Solution Architecture and Design: 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.
• Pre-Sales Activities: 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.
• Customer Engagement and Relationship Management: 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.
• Project Leadership and Delivery: 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.
• Innovation and Best Practices: 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.
• Cross-Functional Collaboration: 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.
• Mentorship and Knowledge Sharing: 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.
• Governance, Compliance, and Security: Ensure that AWS-based data platform solutions comply with relevant security standards and regulations. Implement data governance frameworks to maintain data quality and integrity.

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience: 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.
• Technical Skills: Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS. Proficient in 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.
• Certifications: AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus.
• Soft Skills: 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.
• Will Be a Plus: 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.

• 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.