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Snowflake Developer Jobs

Specialists who design, build, and optimise data pipelines and warehouses using Snowflake. A critical role in modern data infrastructure, ensuring data is accessible and scalable.

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Snowflake Developers are at the forefront of modern data engineering, focusing on building and maintaining robust data pipelines and warehouses using Snowflake's cloud-based platform. These professionals work closely with data engineers, data scientists, and business stakeholders to ensure that data is efficiently ingested, transformed, and made available for analysis. They are in high demand across a variety of industries, from finance and healthcare to retail and technology, where data-driven decision-making is crucial.

What the role does

Inside the role of a Snowflake Developer

A typical week for a Snowflake Developer is a mix of designing and implementing data pipelines, optimising queries, and collaborating with cross-functional teams.

  1. 01
    Design and implement data pipelines using Snowflake.
  2. 02
    Optimise query performance and data storage.
  3. 03
    Collaborate with data engineers and scientists on data architecture.
  4. 04
    Monitor and maintain data quality and integrity.
  5. 05
    Document and communicate data processes and best practices.
Career ladder

From Junior to Principal

A typical UK progression for snowflake developers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Snowflake Developer

    0–2 yrs

    Assists in the design and implementation of basic data pipelines and warehouses. Focuses on learning best practices and contributing to team projects.

  2. Level 2

    Snowflake Developer

    2–5 yrs

    Takes ownership of designing and implementing complex data pipelines and warehouses. Collaborates with cross-functional teams to ensure data quality and performance.

  3. Level 3

    Senior Snowflake Developer

    5–8 yrs

    Leads the design and implementation of large-scale data infrastructure projects. Mentors junior developers and drives best practices within the team.

  4. Level 4

    Principal Snowflake Developer

    8+ yrs

    Strategises and oversees the development of enterprise-wide data infrastructure. Acts as a subject matter expert and thought leader in Snowflake technologies.

Pathway

How to become a Snowflake Developer

There's no single route, but most people follow some version of these steps.

  1. 1

    Learn Snowflake Basics

    Start by mastering the fundamentals of Snowflake, including data loading, querying, and basic data warehousing concepts.

  2. 2

    Build Data Pipelines

    Gain experience in designing and implementing data pipelines, focusing on efficiency and scalability.

  3. 3

    Optimise Performance

    Develop skills in query optimisation and data storage strategies to enhance performance and reduce costs.

  4. 4

    Collaborate with Teams

    Work closely with data engineers, scientists, and business stakeholders to align data infrastructure with organisational goals.

  5. 5

    Lead Projects

    Take on leadership roles in large-scale data infrastructure projects, guiding teams and driving best practices.

  6. 6

    Strategise and Innovate

    Develop strategic initiatives to advance the organisation's data capabilities and explore new technologies and methodologies.

Live jobs

1 live role

Senior Snowflake Developer

This role involves designing and building scalable Snowflake data solutions for risk, finance, and regulatory reporting. You will optimize ELT/ETL pipelines, develop Python-based processing, and support the migration of legacy platforms to the cloud. You will also provide technical leadership and engage with business stakeholders on high-profile regulatory and risk reporting programmes.

Deerfoot Recruitment Solutions Coleman Street, City And County Of the City Of London, United Kingdom
FAQs

Common questions

  • Essential skills include proficiency in SQL, understanding of data warehousing concepts, experience with ETL/ELT processes, and knowledge of cloud platforms like Snowflake.

  • Gain experience in data engineering, learn Snowflake through online courses or certifications, and seek opportunities to work on Snowflake projects in your current role.

  • Responsibilities include designing and implementing data pipelines, optimising query performance, ensuring data quality, and collaborating with cross-functional teams.

  • Career progression typically starts as a Junior Developer, advancing to a Senior Developer, and eventually becoming a Principal Developer or Data Engineering Manager.

  • Salary ranges can vary based on experience and location. For more detailed information, refer to the salary section on this page.

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