Sr. Data Architect - Data Engineering 3

Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Senior Snowflake Architect to design and deliver enterprise-scale cloud data platform solutions for global clients. This role combines deep technical ownership of the Snowflake platform with client-facing leadership — driving data modernization, AI/ML enablement, and platform adoption across client engagements.
Key Responsibilities Design and own end-to-end data architecture on Snowflake (databases, schemas, warehouses, Snowpipe, Streams & Tasks) across AWS/Azure/GCP Lead client discovery, solutioning, and technical presentations to translate business requirements into scalable Snowflake architectures Architect data pipelines for batch and near-real-time ingestion (Snowpipe, Snowpipe Streaming, external stages, CDC integration) Define standards for data governance, security, and access control using Snowflake-native features (RBAC, row/column-level security, masking policies, Horizon governance) Guide advanced platform capabilities — Snowpark (Python/Java/Scala), Cortex AI/ML functions, and Snowflake Native Apps Partner with client stakeholders to define migration strategy from legacy warehouses/on-prem platforms to Snowflake Own performance tuning, warehouse sizing, and cost governance (credit optimization, resource monitors, query profiling) Mentor engineering teams on Snowflake best practices; act as technical escalation point for client engagements Support pre-sales, solutioning, and RFP responses with Snowflake-specific architecture and effort estimation Required Qualifications - experience in data engineering/architecture, with hands-on with Snowflake in production environments Strong expertise in SQL, data modeling (dimensional/Data Vault), and Snowflake architecture patterns Experience with at least one hyperscaler (AWS, Azure, or GCP) and Snowflake's native integrations on that platform Proven track record of client-facing delivery — workshops, architecture reviews, executive presentations Experience with ELT tools and orchestration (dbt, Fivetran, Airflow, Matillion) alongside Snowflake SnowPro Core or Advanced Architect Experience with data sharing/data marketplace and multi-cloud replication on Snowflake Exposure to GenAI/LLM workloads (Cortex Search, RAG pipelines) on Snowflake Consulting or systems integrator background with multi-client delivery experience

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