InfoCepts - Solution Architect - Cloud & Data Engineering

Position : Solution Architect Cloud and Data Engineering. Purpose of the Position : Major responsibilities under this role would be to engage with clients in advisory & consulting, advance solutions, support presales as a solution architect, build capabilities, drive research & experimentation and nurture talent in cloud & data engineering. Key Result Areas and Activities : - Engage with clients, delivery & market. - Architect solutions & coordinate their implementation. - Lead & support opportunities. - Guide research & experiments to address unmet needs. - Build & reuse knowledge & expertise. - Nurture & grow talent. Work and Technical Experience : 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. - Sound business appreciation to understand business and functional requirements for solution architecture considerations. - 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 : - Bachelors degree in computer science, engineering, or related field (Masters degree is a plus). - Demonstrated continued learning through one or more technical certifications or related methods. - At least 14+ years of experience in data analytics with focus on cloud data technologies. Qualities : - Self-motivated and focused on delivering outcomes for a fast growing team and firm. - 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. Position : Solution Architect Cloud and Data Engineering. Purpose of the Position : Major responsibilities under this role would be to engage with clients in advisory & consulting, advance solutions, support presales as a solution architect, build capabilities, drive research & experimentation and nurture talent in cloud & data engineering. Key Result Areas and Activities : - Engage with clients, delivery & market. - Architect solutions & coordinate their implementation. - Lead & support opportunities. - Guide research & experiments to address unmet needs. - Build & reuse knowledge & expertise. - Nurture & grow talent. Work and Technical Experience : 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 catalogi