Position: Data Architect- Snowflake DBT

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. Reporting to the Director of Cloud & Data Engineering Competency Center, this role would require collaboration with stakeholders internally within the organization such as practices, delivery, sales, marketing, talent fulfilment & development functions as well as clients and partners.

Location: Pune/Bangalore/ Chennai/ Nagpur

Type of Employment: Full-time

Key Result Areas and Activities:

Architect solutions & coordinate their implementation – Architect and design contemporary, 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.

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.

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.

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.

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.

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.

Roles and Responsibilities

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

9 to 18 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 problemsolving capabilities.

Proactive, structured, and disciplined in governance activities.

Collaborative, with strong communication across technical and business teams

📌 Data Architect Snowflake DBT (Pune)
🏢 InfoCepts
📍 Pune