Description
Key Responsibilities 1. COE Leadership &
• Strategy • Build and scale Snowflake CoE capabilities (architecture, engineering, governance, FinOps).
• Define reference architectures, reusable assets, frameworks, and accelerators.
• Drive capability development, hiring strategy, and upskilling initiatives.
• Establish standards for delivery quality, security, and performance. 2.
Solution
Architecture &
• Advisory • Own end-to-end Snowflake architecture for enterprise-scale programs.
• Translate business goals into data platform strategies (lakehouse / data warehouse / modern data stack).
• Design solutions across: o Data ingestion, transformation, and orchestration o Data modelling (Dimensional, Data Vault, Medallion/Lakehouse architectures) o Data consumption (BI, APIs, AI/ML integration) • Lead architecture governance and design reviews. 3.
Delivery
Leadership &
• Governance • Lead large-scale implementations and transformations on Snowflake.
• Define and track delivery KPIs, cost optimisation (FinOps), and performance metrics.
• Ensure adoption of CI/CD, DataOps, and DevSecOps practices.
• Act as escalation point for complex technical challenges. 4.
Client
Engagement &
• Consulting • Partner with clients to define data strategies, roadmaps, and transformation journeys.
• Lead solution workshops, proposals, and executive discussions.
• Provide thought leadership in Snowflake, Data Engineering, and Analytics.
• Drive account growth through cross-selling and innovation-led proposals. 5.
Engineering
Excellence &
• Mentorship • Mentor architects and engineers across projects.
• Build strong internal communities around: o Snowflake o dbt / modern data stack o Cloud-native data engineering • Promote best practices in coding, modelling, and governance.
Must Have
Skills &
Experience • 15+ years overall experience in data engineering / analytics / data platform roles.
• 7+ years in Snowflake with strong architecture + delivery experience.
• Proven experience in leading CoE / practice / large delivery teams.
• Deep expertise in: o Snowflake (Snowpipe, Streams &
• Tasks, Dynamic Tables, Secure Sharing) o Data modelling (Dimensional / Data Vault / Lakehouse) o Performance tuning & cost optimisation strategies o Data governance & security (RBAC, masking, row/column security) • Strong experience in ELT/ETL pipelines and orchestration tools (ADF, Airflow, dbt, Matillion, Informatica) • Hands-on experience in client-facing consulting roles and solution design. Good to Have • Experience on Azure / AWS / GCP ecosystems • Exposure to GenAI / AI integration with data platforms • Experience in domain analytics (Insurance, BFSI, Healthcare) • Familiarity with up-to-date data stack tools (dbt, Python frameworks, Spark)
Responsibilities
Key Responsibilities 1. COE Leadership &
• Strategy • Build and scale Snowflake CoE capabilities (architecture, engineering, governance, FinOps).
• Define reference architectures, reusable assets, frameworks, and accelerators.
• Drive capability development, hiring strategy, and upskilling initiatives.
• Establish standards for delivery quality, security, and performance. 2.
Solution
Architecture &
• Advisory • Own end-to-end Snowflake architecture for enterprise-scale programs.
• Translate business goals into data platform strategies (lakehouse / data warehouse / modern data stack).
• Design solutions across: o Data ingestion, transformation, and orchestration o Data modelling (Dimensional, Data Vault, Medallion/Lakehouse architectures) o Data consumption (BI, APIs, AI/ML integration) • Lead architecture governance and design reviews. 3.
Delivery
Leadership &
• Governance • Lead large-scale implementations and transformations on Snowflake.
• Define and track delivery KPIs, cost optimisation (FinOps), and performance metrics.
• Ensure adoption of CI/CD, DataOps, and DevSecOps practices.
• Act as escalation point for complex technical challenges. 4.
Client
Engagement &
• Consulting • Partner with clients to define data strategies, roadmaps, and transformation journeys.
• Lead solution workshops, proposals, and executive discussions.
• Provide thought leadership in Snowflake, Data Engineering, and Analytics.
• Drive account growth through cross-selling and innovation-led proposals. 5.
Engineering
Excellence &
• Mentorship • Mentor architects and engineers across projects.
• Build strong internal communities around: o Snowflake o dbt / modern data stack o Cloud-native data engineering • Promote best practices in coding, modelling, and governance.
Must Have
Skills &
Experience • 15+ years overall experience in data engineering / analytics / data platform roles.
• 7+ years in Snowflake with strong architecture + delivery experience.
• Proven experience in leading CoE / practice / large delivery teams.
• Deep expertise in: o Snowflake (Snowpipe, Streams &
• Tasks, Dynamic Tables, Secure Sharing) o Data modelling (Dimensional / Data Vault / Lakehouse) o Performance tuning & cost optimisation strategies o Data governance & security (RBAC, masking, row/column security) • Strong experience in ELT/ETL pipelines and orchestration tools (ADF, Airflow, dbt, Matillion, Informatica) • Hands-on experience in client-facing consulting roles and solution design. Good to Have • Experience on Azure / AWS / GCP ecosystems • Exposure to GenAI / AI integration with data platforms • Experience in domain analytics (Insurance, BFSI, Healthcare)
• Familiarity with up-to-date data stack tools (dbt, Python frameworks, Spark)
Qualifications
Key Responsibilities 1. COE Leadership &
• Strategy • Build and scale Snowflake CoE capabilities (architecture, engineering, governance, FinOps).
• Define reference architectures, reusable assets, frameworks, and accelerators.
• Drive capability development, hiring strategy, and upskilling initiatives.
• Establish standards for delivery quality, security, and performance. 2.
Solution
Architecture &
• Advisory • Own end-to-end Snowflake architecture for enterprise-scale programs.
• Translate business goals into data platform strategies (lakehouse / data warehouse / modern data stack).
• Design solutions across: o Data ingestion, transformation, and orchestration o Data modelling (Dimensional, Data Vault, Medallion/Lakehouse architectures) o Data consumption (BI, APIs, AI/ML integration) • Lead architecture governance and design reviews. 3.
Delivery
Leadership &
• Governance • Lead large-scale implementations and transformations on Snowflake.
• Define and track delivery KPIs, cost optimisation (FinOps), and performance metrics.
• Ensure adoption of CI/CD, DataOps, and DevSecOps practices.
• Act as escalation point for complex technical challenges. 4.
Client
Engagement &
• Consulting • Partner with clients to define data strategies, roadmaps, and transformation journeys.
• Lead solution workshops, proposals, and executive discussions.
• Provide thought leadership in Snowflake, Data Engineering, and Analytics.
• Drive account growth through cross-selling and innovation-led proposals. 5.
Engineering
Excellence &
• Mentorship • Mentor architects and engineers across projects.
• Build strong internal communities around: o Snowflake o dbt / modern data stack o Cloud-native data engineering • Promote best practices in coding, modelling, and governance.
Must Have
Skills &
Experience • 15+ years overall experience in data engineering / analytics / data platform roles.
• 7+ years in Snowflake with strong architecture + delivery experience.
• Proven experience in leading CoE / practice / large delivery teams.
• Deep expertise in: o Snowflake (Snowpipe, Streams &
• Tasks, Dynamic Tables, Secure Sharing) o Data modelling (Dimensional / Data Vault / Lakehouse) o Performance tuning & cost optimisation strategies o Data governance & security (RBAC, masking, row/column security) • Strong experience in ELT/ETL pipelines and orchestration tools (ADF, Airflow, dbt, Matillion, Informatica) • Hands-on experience in client-facing consulting roles and solution design. Good to Have • Experience on Azure / AWS / GCP ecosystems • Exposure to GenAI / AI integration with data platforms • Experience in domain analytics (Insurance, BFSI, Healthcare) • Familiarity with modern data stack tools (dbt, Python frameworks, Spark)
📌 Snowflake Senior technical lead (Pune)
🏢 EXL
📍 Pune