Snowflake Data Architect

Next Ventures; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading consulting firm is seeking an accomplished Snowflake Solution Architect to join their Data & AI practice. This role involves designing scalable Snowflake-based cloud data platforms and guiding enterprise clients through data modernization. Strong expertise in SQL, data architecture, and cloud ecosystems is crucial. The successful candidate will thrive in a collaborative environment and contribute to innovative data solutions.

Qualifications

• Expertise in designing and implementing Snowflake architectures for enterprise clients.
• Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools.
• Experience leading data modernisation initiatives across multiple sectors.

Responsibilities

• Engage with clients and deliver solutions.
• Design and implement Snowflake-based platforms.
• Lead migration and modernisation projects.

Skills

Designing Snowflake architectures

Consulting with senior stakeholders

SQL and ETL/ELT expertise

Data lifecycle understanding

Problem-solving skills

Leading data modernisation initiatives

Education

University degree

BSc/MSc in Computer Science or Data Engineering

Snowflake certification(s)

Tools

Snowflake

AWS

Azure

GCP

Terraform

Tableau

Power BI

Job description

Position Title

Snowflake Solution Architect

Organisation / Function

Data & AI Practice

Job Summary / Purpose

We are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. The successful candidate will bring deep expertise in designing and implementing Snowflake-based cloud data platforms that are scalable, secure, and business‑aligned. This individual will play a pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Snowflake’s capabilities to enable data democratisation, advanced analytics, and AI‑driven insights.

As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Snowflake strategies, design robust architectures, and implement best practices. You will thrive in a fast‑evolving technology environment, continuously expanding your knowledge and remain at the forefront of data innovation.

Primary Responsibilities

• Client Engagement & Delivery
• Solution Design & Implementation
• Migration & Modernisation
• Thought Leadership & Knowledge Sharing
• Collaboration & Leadership
• Business Relationships
• Client Partners
• Practice Leaders and Members
• Peer‑level relationships within client organisations up to Head of Data Engineering, Head of Data Architecture, and Chief Data Architect level

Competencies / Critical Skills

Key Competencies

• Proven expertise in designing and implementing Snowflake architectures for enterprise clients.
• Strong consulting values with the ability to interface effectively with senior stakeholders.
• Hands‑on experience with SQL, ETL/ELT pipelines, and BI/analytics tools.
• Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).
• Ability to link business objectives with technology strategy and execution.
• Strong problem‑solving, analytical, and communication skills.
• Experience leading data modernisation initiatives across multiple sectors (e.g., banking, insurance, telecom, public sector, manufacturing, retail).

Technical Expertise

• Extensive experience with Snowflake features (e.g., data sharing, Snowpark, zero‑copy cloning, performance tuning).
• Proficiency in cloud ecosystems (AWS, Azure, GCP) and infrastructure‑as‑code (e.g., Terraform).
• Strong background in databases, data warehouses, and distributed processing frameworks.
• Familiarity with BI and data exploration tools (e.g., Tableau, Power BI, Talend).
• Experience with data security, governance, and compliance frameworks.
• Expertise in large‑scale ETL/ELT pipeline implementation using custom and packaged tools.
• Snowflake solution architecture.
• Ideally SnowPro Core certification or above.

Education

• University degree required.
• Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.

Measures of Success

• Successful delivery of Snowflake data platforms aligned to client objectives.
• High client satisfaction and repeat engagements.
• Demonstrated leadership in data modernisation initiatives.
• Contribution to practice growth through assets, propositions, and thought leadership.