Senior Data Solutions Architect with AWS

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.

Responsibilities:

• 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

Requirements:

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 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

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

Required Skill Profession

Arquitectura Y Diseño De Software