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