Chief Data Strategist

1 week ago

Dindigul, Tamil Nadu, India beBeeData Full time ₹ 5,00,000 - ₹ 10,00,000

About Us

Job Opening

We are seeking an experienced 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.

Main Responsibilities:
  • Design and Implement: End-to-end data architecture leveraging Snowflake and Matillion for data ingestion, transformation, and storage.
  • Maintain Standards: Define and maintain data modeling standards, data flows, and architecture best practices (dimensional, normalized, star/snowflake schemas).
  • Evaluate Tools: Lead evaluation and adoption of tools in the modern data stack, ensuring scalability and alignment with business goals.
  • Collaborate Teams: Collaborate with data engineers, analysts, and stakeholders to define requirements and create robust data pipelines.
  • Data Security: Ensure data security, access controls, and compliance (GDPR, HIPAA, SOC 2).
  • Optimize Performance: Optimize Snowflake performance via clustering, caching, query tuning, and cost management.
  • Data Integration: Oversee data integration from APIs, databases, flat files, and third-party platforms.
  • Quality Practices: Establish data quality and metadata management practices.
Required Qualifications & Experience:
  • A minimum of 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.
  • Familiarity with CI/CD, Git, Infrastructure-as-Code (Terraform/CloudFormation).
Preferred Skills:
  • 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).
About This Opportunity:

This is a unique chance to work with a leading digital transformation and product engineering company. You will be part of a global team working on innovative projects and solutions.

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