Solution Architect - Cloud and 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:

• 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
• 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