Posted 29 May, 2026
Snowflake COE Lead
ExlService Holdings, Inc.
Hyderabad, Telangana, India
Full Time
Reference: 218_689623_14432
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:
- Data ingestion, transformation, and orchestration
- Data modelling (Dimensional, Data Vault, Medallion/Lakehouse architectures)
- 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:
- Snowflake
- dbt / modern data stack
- 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:
- Snowflake (Snowpipe, Streams & Tasks, Dynamic Tables, Secure Sharing)
- Data modelling (Dimensional / Data Vault / Lakehouse)
- Performance tuning & cost optimisation strategies
- 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)
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:
- Data ingestion, transformation, and orchestration
- Data modelling (Dimensional, Data Vault, Medallion/Lakehouse architectures)
- 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:
- Snowflake
- dbt / modern data stack
- 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:
- Snowflake (Snowpipe, Streams & Tasks, Dynamic Tables, Secure Sharing)
- Data modelling (Dimensional / Data Vault / Lakehouse)
- Performance tuning & cost optimisation strategies
- 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)