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Data Architect

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Hybrid

Data Architect

Independent Recruitment Consultant (freelancer)

Data Architect

Skills

SQL QueriesData EngineeringSnowflakeGitData AnalysisdbtLinux

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

7 August 2026

What they need


Data Architect Snowflake & dbt

Required Skills & Experience:

  • 10+ years of relevant experience in Data Engineering, Data Warehouse Development, or Data Architecture.
  • Strong hands-on experience with Snowflake and dbt is mandatory.
  • Experience in designing and developing scalable data warehouse and analytics solutions on Snowflake.
  • Strong expertise in data architecture, solution design, and data modeling, including Dimensional Modeling, Star Schema, Snowflake Schema, and Data Vault concepts.
  • Experience in designing and building ETL/ELT data pipelines, data ingestion frameworks, and transformations across heterogeneous data sources.
  • Proficient in SQL programming, query optimization, and database development using Snowflake and dbt.
  • Strong experience in requirements gathering, business analysis, and translating business requirements into scalable technical solutions.
  • Experience working directly with business stakeholders and client teams, leading requirement discussions, solution walkthroughs, and technical design sessions.
  • Ability to own end-to-end solution design, provide architectural guidance, and drive best practices for data engineering and analytics implementations.
  • Experience with dbt for modular development, testing, documentation, and deployment.
  • Good understanding of data governance, metadata management, data lineage, and impact analysis.
  • Ability to capture, document, and maintain data lineage, ETL workflows, and technical documentation.
  • Experience in component validation, deployment, unit testing, and production support.
  • Experience working with Unix/Linux shell scripting.
  • Experience with scheduling/orchestration tools such as Control-M, Autosys, Cron, or similar enterprise schedulers.
  • Experience working with distributed computing systems and modern cloud-based data platforms.
  • Familiarity with CI/CD, version control (Git), and Agile development methodologies is preferred.
  • Excellent analytical, problem-solving, and debugging skills.
  • Strong verbal and written communication skills with the ability to interact confidently with client stakeholders, business users, and cross-functional teams.
  • Ability to mentor junior team members and contribute to solution reviews and design governance.

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