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