Data & Analytics Solution Architect

Basic Qualifications

·        10+ years’ experience in design, development and deployment of Data Analytics or Machine Learning solutions
·        5+ years of experience in data & analytics pre-sales and technical consulting in customer-facing roles
·        3+ years of experience in delivering cloud based data & analytics solutions on Azure or GCP
·        Experience leading a team of Data Engineers/Data Architect `consultants
·        Experience delivering business value to customers with Data Analytics solutions
·        Experience leading enterprise data strategies including data lake delivery
·        Proven experience with software development life cycle (SDLC) and agile/iterative methodologies
·        Ability to travel to client locations to deliver professional services, as needed

Roles and Responsibilities

·         Define, design, and execute the data-centric architecture strategy, best practices and provide technical leadership to implementation teams for the modernization of data intensive application.
·         In partnership with account team, formulate and execute a strategy to increase D&A footprint in the account
·         Ensure success in designing, building, optimizing, transforming or migrating data and analytics solutions for customers.
·         Provide customized solutions for data processing, data pipelines and analytical proposals.
·         Participate in architectural discussions and design exercises to create customized cloud based data and analytics solutions ensuring such solutions are designed to drive desired business outcomes
·         Author or otherwise contribute to whitepapers and proof of concepts
·         Build deep relationships with senior technical individuals & directors within customers organization.
·         Help customer accelerate their journey to their objective of insight driven enterprise by leveraging expertise in designing scalable and resilient data systems on cloud and on-prem, Data Architecture & Big Data technologies.
·         Translate customer requirement into appropriate technical solutions and create technical vision.