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.