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Cloud Architect with Snowflake

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Job Title: Cloud Architect with Snowflake

Location: NYC, NY

Job Description:

We are seeking an experienced Cloud Architect with specialized in Snowflake to design, implement, and manage scalable, secure, and high-performing cloud-based data solutions. The ideal candidate will be responsible for overseeing the organization s cloud computing strategy while leveraging Snowflake s data warehousing capabilities to support data storage, processing, and analytics. This role requires a blend of cloud architecture expertise, data management proficiency, and collaboration with cross-functional teams to align technical solutions with business goals.

Key Responsibilities:

  • Cloud Architecture Design: Design and implement cloud infrastructure solutions (e.g., AWS, Azure, Google Cloud) that are scalable, secure, and cost-effective, with a focus on integrating Snowflake as the core data platform.
  • Snowflake Implementation: Architect, deploy, and optimize Snowflake data warehouse solutions, including data modeling (e.g., star and snowflake schemas), ELT/ETL pipelines, and performance tuning.
  • Data Integration: Develop and manage data pipelines to ingest, process, and transform structured, semi-structured, and unstructured data into Snowflake using tools like Snowpipe, Azure Data Factory, or AWS Glue.
  • Scalability and Performance: Ensure cloud and Snowflake environments can scale seamlessly to handle growing workloads, leveraging features like virtual warehouses, resource monitors, and zero-copy cloning.
  • Security and Governance: Implement security best practices, including role-based access control (RBAC), encryption, and compliance with industry standards within both the cloud infrastructure and Snowflake platform.
  • Collaboration: Work closely with data engineers, analysts, and business stakeholders to translate requirements into technical solutions, ensuring alignment with organizational objectives.
  • Migration Strategy: Plan and execute migrations of on-premises data systems to cloud environments, integrating Snowflake as the target data warehouse.
  • Monitoring and Optimization: Monitor cloud and Snowflake performance, troubleshoot issues, and recommend optimizations to improve efficiency and reduce costs.
  • Technology Leadership: Stay current with cloud and Snowflake advancements, providing recommendations on emerging tools, features (e.g., Time Travel, Streams), and best practices.

Qualifications:

Education: Bachelor s degree in Computer Science, Information Technology, or a related field (Master s degree preferred).

Experience:

  • 5+ years of experience in cloud architecture (AWS, Azure, or Google Cloud Platform).
  • 3+ years of hands-on experience with Snowflake, including data warehousing, SQL optimization, and administration.

Technical Skills:

  • Proficiency in cloud platforms (AWS, Azure, or Google Cloud Platform) and their services (e.g., EC2, S3, Lambda, Blob Storage).
  • Expertise in Snowflake features: virtual warehouses, Snowpipe, query performance tuning, and data sharing.
  • Strong knowledge of SQL, Python, or similar languages for data manipulation and automation.
  • Experience with ETL/ELT tools and data integration frameworks.
  • Familiarity with data modeling techniques

Certifications (Preferred):

  • Snowflake SnowPro Core Certification or higher.
  • Cloud provider certification (e.g., AWS Solutions Architect, Azure Solutions Architect).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Job Title: Cloud Architect with Snowflake

Location: NYC, NY

Job Description:

We are seeking an experienced Cloud Architect with specialized in Snowflake to design, implement, and manage scalable, secure, and high-performing cloud-based data solutions. The ideal candidate will be responsible for overseeing the organization s cloud computing strategy while leveraging Snowflake s data warehousing capabilities to support data storage, processing, and analytics. This role requires a blend of cloud architecture expertise, data management proficiency, and collaboration with cross-functional teams to align technical solutions with business goals.

Key Responsibilities:

  • Cloud Architecture Design: Design and implement cloud infrastructure solutions (e.g., AWS, Azure, Google Cloud) that are scalable, secure, and cost-effective, with a focus on integrating Snowflake as the core data platform.
  • Snowflake Implementation: Architect, deploy, and optimize Snowflake data warehouse solutions, including data modeling (e.g., star and snowflake schemas), ELT/ETL pipelines, and performance tuning.
  • Data Integration: Develop and manage data pipelines to ingest, process, and transform structured, semi-structured, and unstructured data into Snowflake using tools like Snowpipe, Azure Data Factory, or AWS Glue.
  • Scalability and Performance: Ensure cloud and Snowflake environments can scale seamlessly to handle growing workloads, leveraging features like virtual warehouses, resource monitors, and zero-copy cloning.
  • Security and Governance: Implement security best practices, including role-based access control (RBAC), encryption, and compliance with industry standards within both the cloud infrastructure and Snowflake platform.
  • Collaboration: Work closely with data engineers, analysts, and business stakeholders to translate requirements into technical solutions, ensuring alignment with organizational objectives.
  • Migration Strategy: Plan and execute migrations of on-premises data systems to cloud environments, integrating Snowflake as the target data warehouse.
  • Monitoring and Optimization: Monitor cloud and Snowflake performance, troubleshoot issues, and recommend optimizations to improve efficiency and reduce costs.
  • Technology Leadership: Stay current with cloud and Snowflake advancements, providing recommendations on emerging tools, features (e.g., Time Travel, Streams), and best practices.

Qualifications:

Education: Bachelor s degree in Computer Science, Information Technology, or a related field (Master s degree preferred).

Experience:

  • 5+ years of experience in cloud architecture (AWS, Azure, or Google Cloud Platform).
  • 3+ years of hands-on experience with Snowflake, including data warehousing, SQL optimization, and administration.

Technical Skills:

  • Proficiency in cloud platforms (AWS, Azure, or Google Cloud Platform) and their services (e.g., EC2, S3, Lambda, Blob Storage).
  • Expertise in Snowflake features: virtual warehouses, Snowpipe, query performance tuning, and data sharing.
  • Strong knowledge of SQL, Python, or similar languages for data manipulation and automation.
  • Experience with ETL/ELT tools and data integration frameworks.
  • Familiarity with data modeling techniques

Certifications (Preferred):

  • Snowflake SnowPro Core Certification or higher.
  • Cloud provider certification (e.g., AWS Solutions Architect, Azure Solutions Architect).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job