Principal Cloud Data Architect

1 day ago


Kota, Rajasthan, India beBeeDataArchitect Full time ₹ 20,00,000 - ₹ 28,00,000
Job Title

We are seeking a seasoned data architect to spearhead data architecture and modeling with a focus on Snowflake and Matillion.

The ideal candidate is proactive, self-directed, collaborative, and passionate about building scalable cloud-based data platforms.

Key Responsibilities:

  • Design and implement end-to-end data architecture leveraging Snowflake and Matillion for data ingestion, transformation, and storage.
  • Define and maintain data modeling standards, data flows, and architecture best practices (dimensional, normalized, star/snowflake schemas).
  • Lead evaluation and adoption of tools in the modern data stack, ensuring scalability and alignment with business goals.
  • Collaborate with data engineers, analysts, and stakeholders to define requirements and create robust data pipelines.
  • Ensure data security, access controls, and compliance (GDPR, HIPAA, SOC 2).
  • Optimize Snowflake performance via clustering, caching, query tuning, and cost management.
  • Oversee data integration from APIs, databases, flat files, and third-party platforms.
  • Establish data quality and metadata management practices.
  • Provide subject matter expertise in Matillion orchestration, reusable job frameworks, and performance optimization.

Requirements & Qualifications

Required Qualifications:

  • 5+ years of experience in data engineering/architecture.
  • Proven expertise with Snowflake (multi-cluster warehouses, role-based access, data sharing).
  • Strong pipeline development experience with Matillion ETL.
  • Strong data modeling & scalable cloud data platforms experience.
  • Proficiency in SQL and scripting (Python or Bash).
  • Hands-on experience with AWS/Azure.
  • Familiar with CI/CD, Git, Infrastructure-as-Code (Terraform/CloudFormation).

Preferred Qualifications:

  • Experience with dbt, Airflow, orchestration tools.
  • Knowledge of BI/reporting tools (Power BI, Tableau, Looker).
  • Familiarity with data governance/data catalog tools (Alation, Collibra, Atlan).
  • Background in ML platforms or real-time pipelines.
  • Industry domain knowledge (finance, healthcare, retail – nice to have).

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