Snowflake Architect Ninja Cat

Saviance

$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Snowflake data warehouse architecture and design expertise.
  • 10 years of experience in data architecture and analytics.
  • Experience in data management, including governance and master data management.
  • Customer-facing consulting or delivery experience.
  • Strong analytical, problem-solving, and attention to detail skills.
  • Ability to gather user requirements and produce technical documentation.
  • Proficiency in SQL and data modeling concepts.

Responsibilities

  • Deploy a production-ready data solution using Snowflake on platforms like Azure and AWS.
  • Utilize SnowSQL for various data manipulation tasks.
  • Automate data pipeline processes using modern technologies.
  • Leverage source control and CI tools effectively.
  • Collaborate in interdisciplinary teams across technical and business domains.
  • Design and maintain data architectures and models for Snowflake projects.
  • Ensure technical solutions are well-architected and troubleshoot issues as needed.

Benefits

  • 100% remote work environment.
  • Long-term contract position with potential stability.
  • Opportunity to work with cutting-edge cloud technologies.
  • Collaboration with interdisciplinary teams that enhance skill diversity.
Full Job Description
Position: Snowflake Architect.
Location: 100% Remote.
Duration: Long Term.
About the Job:

As the Snowflake Architect, you will be responsible for architecting, designing, and overseeing the implementation of a Snowflake DW on AWS, Azure or GCP. You will lead technical decisions on all aspects of Snowflake features. Additionally, you will develop data management architectures involving batch, micro-batch, and real-time streaming of data in both cloud and on-premises solutions; and own the architecture and design of Big Data Pipelines.

Responsibilities:
  • Deploy a fully operational data solution into production on Snowflake DW with technologies such as Microsoft Azure, Azure DevOps, Azure Data Factory, Azure Monitor, AWS, AWS S3, AWS Glue, AWS Kinesis.
  • Utilize SnowSQL for command line, DDL, DML, and query syntax.
  • Build modern approaches to automating data pipelines.
  • Leverage code repositories and continuous integration tools.
  • Work in interdisciplinary teams that combine technical, business and data science competencies.
  • Be responsible for designing, developing and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects in Snowflake, combined with other technologies.
  • Model new features and subject areas and integrate them with existing structures to provide a consistent solution as well as develop and maintain documentation of the data architecture, data flows and data models.
  • Take ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential data pipeline-related problems.


Minimum Job Qualifications:
  • Snowflake DW Architecture and Design.
  • 10 total years in data architecture, analytics, design, and development.
  • Data Management experience including Data Governance, Master Data Management, Reference Data Management, and Metadata Management.
  • Customer-facing experience in a consulting or delivery capacity.
  • Analytical and problem-solving skills.
  • Acute attention to detail.
  • Experience with gathering end user requirements and writing technical documentation.
  • Time management and multitasking skills to effectively meet challenging deadlines.
  • Ability to suggest innovative solutions based on new technologies and latest trends.
  • Proficiency in data modelling, very good understanding of data management concepts such as 3NF, Dimensional and their specific applications.
  • Ability to write complex SQL scripts.
  • Understanding troubleshooting aspects
  • Understanding of data security and data access controls and design aspects
  • Experience in Agile development methodologies.
  • Excellent client facing and team player skills.


Nice to have:
  • NoSQL/Key-value, Data Vault 2.0 concepts knowledge
  • Snowflake certification

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