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Snowflake Architect

ZipRecruiter

London

On-site

GBP 60,000 - 100,000

Full time

17 days ago

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Job summary

An established industry player seeks a skilled data architect to lead the design and deployment of scalable data architectures using Snowflake. This role involves building robust data pipelines, optimizing performance, and integrating AI/ML capabilities for advanced analytics. The ideal candidate will provide technical leadership, mentor teams, and collaborate with customers to address unique challenges. Join a forward-thinking company that values innovation and customer-centric solutions, where your expertise will drive impactful enhancements in data management and analytics.

Qualifications

  • Expertise in designing scalable Snowflake architectures and data pipelines.
  • Strong skills in performance optimization and AI/ML integration.

Responsibilities

  • Designing efficient data architectures and building robust data pipelines.
  • Collaborating with teams to address design flaws and enhance products.

Skills

Snowflake
SQL
Python
Kafka
DBT
Matillion
Fivetran

Tools

Snowflake Data Cloud
CI/CD pipelines

Job description

Job Description

Data Architecture and Deployment:
  • Designing scalable and efficient Snowflake data architectures using the Snowflake Data Cloud Deployment Framework.
  • Supporting self-service platforms, FinOps models, and DataOps practices, including CI/CD pipelines.
Data Pipeline Development:
  • Building robust data pipelines leveraging Snowflake features, SQL, Python, Kafka, and tools like DBT, Matillion, and Fivetran.
  • Working with advanced Snowflake features like Unistore and Dynamic Tables for Change Data Capture (CDC) at the RAW layer and transformations at the INT layer.
Performance Optimization:

Ensuring cost-efficient and high-performance Snowflake solutions through effective design and tuning.

AI/ML Integration:

Enabling AI/ML capabilities on Snowflake for conversational data interactions and advanced analytics.

Technical Leadership:
  • Providing leadership in service delivery, managing escalations, conducting design reviews, and optimizing complex use cases.
  • Mentoring teams and overseeing enhancements for existing Snowflake solutions.
Customer-Centric Collaboration:
  • Collaborating with field teams, customers, and partners to address design flaws, migrations, and unique customer challenges.
  • Driving product enhancements through partnership with Snowflake's support, product management, and engineering teams.
Monitoring and Support:

Managing technical reviews and monitoring ongoing implementations to ensure optimal architecture and resolution of critical issues.

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