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 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.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. (ref:hirist.tech)

📌 InfoCepts - Snowflake Architect (Nagpur)
🏢 InfoCepts Technologies
📍 Nagpur