Senior Data Solutions Architect

**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 high-impact customer engagements focused on AWS Data Platform solutions.- Define and drive technical strategies that align AWS capabilities with customer objectives, incorporating Databricks, GCP, or Azure where appropriate.- ** Solution Architecture and Design**:- Architect and design scalable data platforms using AWS, ensuring optimal performance, security, and cost-efficiency.- Integrate AWS services with other solutions (Databricks, Snowflake, GCP, or Azure) as needed, selecting the right technologies and tools to meet customer needs.- Develop and maintain comprehensive architectural documentation aligned with organizational technical standards.- ** Pre-Sales Activities**:- Partner with the sales team, providing technical expertise to position AWS-based data solutions effectively.- Participate in customer meetings to assess technical needs, scope solutions, and identify growth opportunities.- Create technical proposals, solution architectures, and presentations to support sales efforts and align with customer expectations.- Assist in responding to RFPs/RFIs with accurate technical input and align solutions to client requirements.- Demonstrate AWS capabilities through POCs and technical demonstrations to showcase proposed solutions.- ** Customer Engagement and Relationship Management**:- Build and maintain strong relationships with key customer stakeholders, acting as a trusted advisor for 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.- ** Innovation and Best Practices**:- Stay up-to-date with the latest developments in AWS, Databricks, GCP, Azure, 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 through technical blogs, case studies, and industry event presentations.- ** 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**:- Experience in data solution architecture.- Proven experience in designing and implementing large-scale data engineering solutions on AWS.- Experience with Databricks, GCP, or Azure solutions is required.- 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 in data engineering.- AWS Certified Solutions Architect - Professional (or similar) is required.- Excellent communication and presentation skills, with the ability to convey 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, GCP, or Azure.- Experience with AWS Migration Acceleration Programs (MAP).- Experience with AI/ML integration in data platforms.- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.- Contributions to open-source projects or active participation in the data