Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning, focuses 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.Position OverviewAs 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 LeadershipLead high-impact customer engagements focused on AWS Data Platform solutionsDefine and drive technical strategies that align AWS capabilities with customer objectives, incorporating Databricks, GCP, or Azure where appropriateSolution Architecture and DesignArchitect and design scalable data platforms using AWS, ensuring optimal performance, security, and cost-efficiencyIntegrate AWS services with other solutions (Databricks, Snowflake, GCP, or Azure) as needed, selecting the right technologies and tools to meet customer needsDevelop and maintain comprehensive architectural documentation aligned with organizational technical standardsPartner with the sales team, providing technical expertise to position AWS-based data solutions effectivelyParticipate in customer meetings to assess technical needs, scope solutions, and identify growth opportunitiesCreate technical proposals, solution architectures, and presentations to support sales efforts and align with customer expectationsAssist in responding to RFPs / RFIs with accurate technical input and align solutions to client requirementsDemonstrate AWS capabilities through POCs and technical demonstrations to showcase proposed solutionsCustomer Engagement and Relationship ManagementBuild and maintain strong relationships with key customer stakeholders, acting as a trusted advisor for data platform initiativesLead discovery workshops to understand customer requirements, KPIs, and technical constraintsProject Leadership and DeliveryOversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams to ensure successful deliveryManage technical risks and develop mitigation strategiesInnovation and Best PracticesStay up-to-date with the latest developments in AWS, Databricks, GCP, Azure, and cloud technologiesDevelop and promote best practices in data platform architecture, data pipelines, and data governanceCross-Functional CollaborationCollaborate with AI / ML teams to integrate advanced analytics and machine learning capabilities into AWS and other cloud platformsWork with DevOps teams to implement CI / CD pipelines and automation for data workflowsMentorship and Knowledge SharingMentor junior architects and engineers, fostering a culture of continuous learning and professional developmentContribute to knowledge-sharing initiatives through technical blogs, case studies, and industry event presentationsGovernance, Compliance, and SecurityEnsure that AWS-based data platform solutions comply with relevant security standards and regulationsImplement data governance frameworks to maintain data quality and integrityRequirements:Experience in data solution architectureProven experience in designing and implementing large-scale data engineering solutions on AWSExperience with Databricks, GCP, or Azure solutions is requiredDeep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKSProficient in programming languages like Python, SQL, and ScalaExperience with data warehousing, ETL processes, and real-time data streamingFamiliarity with open-source technologies and tools in data engineeringAWS Certified Solutions Architect – Professional (or similar) is requiredExcellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholdersStrong leadership and project management skillsAbility to work collaboratively in a cross-functional team environmentWill Be a Plus:Certifications in Databricks, GCP, or AzureExperience with AWS Migration Acceleration Programs (MAP)Experience with AI / ML integration in data platformsBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldContributions to open-source projects or active participation in the data engineering community
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