Provectus, a leading AI consultancy and solutionsprovider 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 dataplatforms that drive results.Our Data Engineering team consists oftop-tier professionals who design, implement, and optimizescalable, data-driven architectures for clients across variousindustries.Join us if you have the same passion for makingproducts using AI / ML technologies, cloud services, and dataengineering.As a Data Solutions Architect, you will lead thedesign, architecture, and implementation of large-scale datasolutions for our clients.You will act as a strategic technicalleader, collaborating with cross-functional teams to deliverinnovative data platforms that drive business value.Responsibilities :- Lead high-impact customer engagements focusedon Databricks Data Platform solutions. - Define and drive technicalstrategies that align Databricks capabilities with customerobjectives.Architect scalable, secure, and reliable Databrickson AWS platforms, integrating with other AWS services andopen-source technologies.Provide technical expertise during thepre-sales process, assisting with RFPs / RFIs and creating solutionarchitectures.Oversee end-to-end implementation of dataplatforms, collaborating with cross-functional teams. - ConductPOCs and technical demos to demonstrate Databricks capabilities.Build relationships with customer stakeholders, acting as a trustedadvisor on data platform initiatives. - Promote best practices indata governance, pipelines, and platform architecture.Mentorjunior team members and contribute to knowledge-sharing efforts. -Stay current on Databricks and cloud technology advancements.Requirements :- Experience in data solution architecture. - Provenexperience in designing and implementing large-scale dataengineering solutions on AWS.Deep expertise in the Databricksplatform. - Strong knowledge of AWS services such as S3, EC2,Lambda, EMR, Glue, Redshift, AWS MSK, and EKS.Proficient inprogramming languages like Python, SQL, and Scala. - Experiencewith data warehousing, ETL processes, and real-time data streaming.Familiarity with open-source technologies and tools commonly usedin data engineering. - Excellent communication and presentationskills, with the ability to articulate complex technical conceptsto non-technical stakeholders.Strong leadership and projectmanagement skills. - Ability to work collaboratively in across-functional team environment.Will Be a Plus :- AWS CertifiedSolutions Architect Professional or similar certifications. -Databricks Certification (Databricks Certified Professional DataEngineer or equivalent certification).Bachelor’s or Master’sdegree in Computer Science, Engineering, or a related field. -Experience with AI / ML integration in data platforms.Familiaritywith data governance tools and practices. - Contributions toopen-source projects or active participation in the dataengineering community. #J-18808-Ljbffr

Python, PySpark, AWS services, SQL, Scala, Data warehousing, ETL processes, Real-time data streaming, Open-source technologies, Data governance