Snowflake Senior technical lead

EXL

Gurugram District

On-site

INR 4,000,000 - 7,000,000

Full time

6 days ago
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Job summary

EXL Services Corporation in India seeks an accomplished Snowflake data engineering leader to drive CoE strategy, architecture, and delivery across enterprise-scale programs.

You will own end-to-end Snowflake architecture, govern data platforms, mentor engineers, and engage clients to define data roadmaps and transformation journeys. Strong hands-on experience with ELT/ETL, dbt, Airflow, and cloud ecosystems is essential.

Qualifications

  • 15+ years overall experience in data engineering / analytics / data platform roles.
  • 7+ years in Snowflake with strong architecture + delivery experience.
  • Proven experience leading CoE / practice / large delivery teams.
  • Deep expertise in Snowflake features (Snowpipe, Streams & Tasks, Dynamic Tables, Secure Sharing).
  • Strong ELT/ETL and orchestration tooling experience (ADF, Airflow, dbt, Matillion, Informatica).
  • Hands-on client-facing consulting and solution design experience.

Responsibilities

  • Lead COE Leadership & Strategy for Snowflake initiatives.
  • Own end-to-end Snowflake architecture for enterprise-scale programs.
  • Drive delivery leadership, KPIs, FinOps, and governance practices.
  • Engage clients to define data strategies, roadmaps, and transformation journeys.
  • Mentor architects and engineers and promote best practices in governance.

Skills

Leadership
CoE leadership
Client-facing consulting
ELT/ETL orchestration
Data governance

Education

Bachelor's in CS/Engineering
Master’s preferred

Tools

Snowflake
dbt
Airflow
ADF
Informatica
Matillion
Cloud platforms (Azure/AWS/GCP)

Job description

Key Responsibilities



  1. 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. 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. 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. 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. 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)


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