
Cloud Data Architect Position
2 days ago
About the Job
Job Title: Cloud Data Architect – Snowflake & MatillionWe are seeking an experienced professional to lead data architecture and modeling with a focus on cloud-based 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.
Required Skills and 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).
Benefits:
- Work on cutting-edge cloud technologies.
- Collaborate with experienced professionals.
- Opportunities for growth and development.
Others:
- Maintain up-to-date knowledge of industry trends.
- Participate in regular code reviews.
About InfoBeans has been removed as per your instruction.
This is a great opportunity to work with a team that values innovation and collaboration.
The ideal candidate should be proactive, self-directed, collaborative, and passionate about building scalable cloud-based data platforms.
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