Senior Data Solutions Architect (with Databricks)Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning, is seeking a Senior Data Solutions Architect. 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.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:Lead high-impact customer engagements focused on Databricks Data Platform solutionsDefine and drive technical strategies that align Databricks capabilities with customer objectivesArchitect scalable, secure, and reliable Databricks on AWS platforms, integrating with other AWS services and open-source technologiesProvide technical expertise during the pre-sales process, assisting with RFPs / RFIs and creating solution architecturesOversee end-to-end implementation of data platforms, collaborating with cross-functional teamsConduct POCs and technical demos to demonstrate Databricks capabilitiesBuild relationships with customer stakeholders, acting as a trusted advisor on data platform initiativesPromote best practices in data governance, pipelines, and platform architectureMentor junior team members and contribute to knowledge-sharing effortsStay current on Databricks and cloud technology advancementsRequirements:Experience in data solution architectureProven experience in designing and implementing large-scale data engineering solutions on AWSDeep expertise in the Databricks platformStrong knowledge of AWS services such as 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 commonly used in data engineeringExcellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholdersStrong leadership and project management skillsAbility to work collaboratively in a cross-functional team environmentWill Be a Plus:AWS Certified Solutions Architect – Professional or similar certificationsDatabricks Certification (Databricks Certified Professional Data Engineer or equivalent certification)Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldExperience with AI / ML integration in data platformsFamiliarity with data governance tools and practicesContributions to open-source projects or active participation in the data engineering communitySeniority Level: Not ApplicableEmployment Type: Full-timeJob Function: Sales, Consulting, and Engineering, Software Development
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