EXL

Snowflake COE Lead

EXL  •  Republic of India (Onsite)  •  9 hours ago
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Job 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:
    • 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)

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)

EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
Website
exlservice.com
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