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 up-to-date 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.

📌 InfoCepts - Solution Architect - Cloud & Data Engineering (India)
🏢 Infocepts Technologies
📍 India