Key Result Areas and Activities:

- Architect solutions & coordinate their implementation
- Guide research & experiments to address unmet needs
- Build & reuse knowledge & expertise
- Engage with clients, delivery & industry
- Lead & support opportunities

Work and Technical Experience:

Must Have:

- Experience in design and architecture of contemporary data platforms, data products, data clean rooms
- Deep expertise in data modelling, data pipeline, data sharing, semantic enrichment using Snowflake capabilities including Snowflake Intelligence, DBT, Horizon, Snowpark
- Proficient in data engineering using DBT as well as cloud native data pipelines in Snowpipe, Openflow
- Proficiency in AI infused data engineering with effective use of GenAI, LLMs, MCPs, Agents using, Cortex and Cortex Code
- Experience of designing and implementing domain driven architecture, data mesh and data fabric architectural patterns
- Diverse D&A; experiences including green field Fabric implementation, migrations from legacy to Snowflake, data products, semantic & context layer design in Snowflake
- Proficiency in supporting presales and solutioning with experience in conducting discovery workshops, whiteboarding sessions, building architectural blueprints and estimations for large programs
- Demonstrable thought leadership through blogs, white papers and presentations in D&A; events

Good to have:

- 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 cloud native services on Snowflake on Azure/AWS
- Experience of building Snowflake native apps as a front end for data products and AI use cases
- Well versed with DevSecOps considerations for cloud first data analytics solutions in Snowflake on Azure/AWS




- Sound understanding of cloud infrastructure provision, data observability and Cloud FinOps covering usage of Snowflake
- 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
- 10 to 14 years of experience in data analytics with focus on cloud data technologies

Qualities:

- Strong architectural mindset with attention to detail.
- Ability to enforce standards with diplomacy and influence.
- Analytical thinker with strong problem?solving capabilities.
- Proactive, structured, and disciplined in governance activities.
- Collaborative, with strong communication across technical and business teams.

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
- 10 to 14 years of experience in data analytics with focus on cloud data technologies.

Qualities:

- Strong architectural mindset with attention to detail.
- Ability to enforce standards with diplomacy and influence.
- Analytical thinker with strong problem?solving capabilities.
- Proactive, structured, and disciplined in governance activities.
- Collaborative, with strong communication across technical and business teams

Location

Pune / Nagpur / Bengaluru / Chennai

Years Of Exp

12 to 18 years

📌 Snowflake DBT Architect (India)
🏢 InfoCepts
📍 India