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Data Architect

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Hybrid

Data Architect

Datamatics

Data Architect

Skills

Google Cloud PlatformSnowflakeData AnalysisMachine LearningAIAWSTalendPower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹3,000,000 – ₹4,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

26 September 2026

What they need


Hi Greetings from Datamatics

I have excellent opportunity for Data Architect role .

Hybrid Model

Location Bangalore || Mumbai

Exp:- 13 to 20 Years

Notice Period Max -15 days

Data Architect - Snowflake & Power BI (15+ Years)

Role Summary
Architect modern cloud data platforms leveraging Snowflake and Power BI. Drive enterprise analytics transformation, Customer Engagements, Data CoE initiatives, and support strategic pre-sales opportunities.

Key Responsibilities

  • Design scalable Snowflake-based data platforms.

  • Design scalable, reusable, meta-data driven ETL/ELT pipelines end to end.

  • Build enterprise data models, semantic layers, and reporting architectures.

    • Define analytics, BI, governance, and data management frameworks.
    • Define data governance framework.
  • Lead customer workshops, solution discovery, and pre-sales engagements.

    • Guide delivery teams and ensure architectural best practices.
    • Partner with business and technology stakeholders.

Mandatory Skills

  • 15+ years in Data & Analytics.

  • Strong Snowflake architecture expertise.

  • Strong ETL/ELT/DWH expertise using Talend/ADF/Informatica.

  • Extensive Power BI architecture and governance experience.

  • Strong Data Governance expertise using Purview/Collibra.

  • Strong AI/ML experience.

  • Proven Data CoE leadership experience.

    • Strong pre-sales, consulting, and client engagement skills.
    • Data Modeling, ETL/ELT, Cloud Data Platforms (Azure/GCP/AWS).
    • Team leadership and stakeholder management.

Preferred

  • Snowflake and Microsoft certifications.
  • Multi-cloud experience (Azure/GCP/AWS).
  • Experience leading large-scale data transformation programs, including data migration, modernization, and solution architecture initiatives.

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