Snowflake Senior technical lead

EXL

Pune District

On-site

INR 3,000,000 - 6,000,000

Full time

5 days ago
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Job summary

EXL is expanding its Data Platform practice and seeking a senior architect to own end-to-end Snowflake architectures for large-scale programs. You will lead CoE initiatives, drive capability development, and partner with clients to translate business goals into scalable data solutions.

The role requires deep Snowflake expertise, strong delivery leadership, and hands-on capability across data ingestion, modeling, and analytics.

Qualifications

  • 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).
  • 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.

Responsibilities

  • Lead large-scale Snowflake implementations and transformations.
  • 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.
  • Partner with clients to define data strategies, roadmaps, and transformation journeys.

Skills

Data engineering
Snowflake architecture
CoE leadership
Snowflake features
ELT/ETL orchestration
Client advisory

Tools

ADF
Airflow
dbt
Matillion
Informatica

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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