Senior Solution Architect - Data Engineering

Role : Sr Solution Architect - Data & AI Experience : 18 Years Relevant Experience : 10 Years Certifications : Google Professional Data Engineer or Google Professional Machine Learning Engineer Job description : - 8 to 10 years of experience in Data Analytics and AI/ ML - Established expertise in Data engineering, AI/ML, Analytics - technical and solutioning capability. - 5 years of Leadership role experience in a technology service/product company in AI/ML and data analytics. - Experienced in delivering 4-5 Medium to Big Enterprise Analytics products to market - Prior Experience of working in Product manager capacity in AI/ML and data analytics area. - Experience of converting business problems into analytics solutions and bringing new sales opportunities. - Lead and develop a team of data analysts, data engineers and Machine Learning engineers and researchers to develop analytical solutions - Solid experience in developing and building AI/ ML models for different industry verticals (Finance/ Insurance/ Automobile/ Telecom etc) - Prior experience of Software development and familiarity with business intelligence tools (e.g. Tableau, SAS, Data Studio, Looker) - Expert knowledge in multiple Cloud platforms (AWS, Azure, GCP) of which GCP is must. - Problem Solving aptitude and focus on Standardization. - Experience Engaging with prospects/clients/sales to develop and convert new business opportunities. - Capability development of technical experts within and outside the Practice. - Self-motivated, proactive, and comfortable working in a cross-functional setting, while inspiring the same in the team. - Conceive, create, and deliver value propositions and solutions for taking to market. - Excellent written and communication skills, as the candidate is meant to interact with multiple departments aiding them in the proper application and effectiveness of data analysis. Skills : - Strategic Planning and Direction - Product & Program Management - Maintain architecture principles, guidelines and standards - Experience with Database, DWH and Data Engineering Solutions - Data Analytics & AI/ML Technology Domains : Experience in designing & implementing solution in mentioned areas : - AI/ML, Data Analytics , Data Engineering on Google Cloud Platform. (ref:hirist.tech)

Location: noida, IN

Posted Date: 11/27/2024