Purpose of the Position :

Purpose of this role is to drive Cloud & Data Engineering competency at Infocepts. Major responsibilities under this role would be to engage with clients to architect solutions, advance capabilities, drive research & experimentation and nurture talent in cloud & data engineering.

Key Result Areas and Activities :

1. Architect solutions & coordinate their implementation :

- Architect and design modern, high-performance D&A solutions incorporating people, process, and technology levers in cloud and big data technologies.

- Coordinate with delivery for adoption with focus on greater reuse, AI infusion for accelerated and risk-mitigated implementation.

2. Guide research & experiments to address unmet needs :

- Proactively drive research and experimentation through the CoEs to ensure that Infocepts stays ahead of the curve in emerging areas of cloud data engineering and architecture.

- Identify specific opportunities for innovation to create differentiation and address unmet needs.

3. Build & reuse knowledge & expertise :

- Build foundation components in the form of reusable assets in Cloud and Big Data technologies which can be leveraged across projects and client accounts.

- Advance Infocepts solutions through effective use of one or more foundation components.

- Influence D&A space by creating thought leadership content and participating in external events and forums.

- Anchor and leverage Community of Practitioners (CoPs) for knowledge sharing and mobilizing support for innovation at scale.

4. Engage with clients, delivery & industry :

- Proactively track D&A trends and influence client's data strategy and choices through thought leadership.

- Identify white spaces and mine opportunities for growth.

5. Lead & support opportunities :

- Support pre-sales activities including conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, and supporting sales and marketing enablement for Cloud and Big Data related technologies.

6. Nurture & grow talent :

- Develop differentiated D&A talent pool in through recruitment and learning & development in cloud data engineering competencies.

- Mentor associates to help them advance their careers in D&A using the Infocept's Career Architecture Framework.

Essential Skills :

- Experience in design and architecture of modern 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.

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 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 - 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.