InfoCepts - Solution Architect - Cloud Data Engineering

Purpose of the Position: Responsible to engage with clients in advisory and consulting, advance solutions, support presales as a solution architect, build capabilities, drive research and experimentation and nurture talent in cloud and data engineering. Key Result Areas and Activities: - Engage with clients, delivery and market - Architect solutions and coordinate their implementation - Lead and support opportunities - Guide research and experiments to address unmet needs - Build and reuse knowledge and expertise - Nurture and grow talent Essential Skills: - Experience in D&A domain specifically in cloud data technologies - Experience in solution design, architecture and implementation of modern hybrid or multi-cloud data analytics solutions - Demonstrable presales and solutioning experience in conducting workshops, building proposals - Proficiency in D&A stack of one or more hyperscaler platforms such as Azure, AWS, GCP and modern data platforms such as Snowflake and Databricks - Demonstrable thought leadership through blogs, white papers and presentations in D&A events - In-depth and hands on experience on data modeling, data organization and data engineering on cloud. - Diverse D&A experiences including green field implementations, data modernization, D&A migrations from on-premise to cloud and development of full stack data products - Experience of designing and implementing domain driven architecture, data mesh and data fabric architectural patterns Desirable Skills: - Well versed with data management practices such as data quality management, data cataloging and data governance in hybrid and multi-cloud environments - Well versed in DataOps automation using custom or cloud native services on hyperscaler platforms - Well versed with DevSecOps considerations for cloud first data analytics solutions - Sound understanding of cloud infrastructure provision, data observability and Cloud FinOps - Demonstrable advisory and consulting experiences for strategic D&A initiatives - Experience in evaluating and comparing multiple cloud data technology choices and making right-fit recommendations in the client context - Working knowledge of frameworks like TOGAF, DAMA Qualifications: - At least 14+ years of experience in data analytics with focus on cloud data technologies - Bachelor's degree in computer science, engineering, or related field (Master's degree is a plus) - Demonstrated continued learning through one or more technical certifications or related methods. Qualities: - Self-motivated and focused on delivering outcomes for a fast growing team. - Able to communicate persuasively through speaking, writing, and client presentations. - Able to consult, write, and present persuasively - Able to work in a self-organized and cross-functional team - Able to iterate based on new information, peer reviews, and feedback. - Able to work with teams and clients in different time zones. - Research focused mindset