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Snowflake Leader

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Persistent Systems
Full Time position
Listed on 2026-07-11
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.

We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025

About Position

Please mention a brief description of the position.

  • Role:
    Snowflake Architect
  • Location:

    Glasgow
  • Experience:

    10+
  • Job Type: Full Time Employment
  • Mandatory Mention 3 skills:
    Snowflake, Data Architecture and Data Warehousing
Job Description:

Snowflake Architect Job Overview

We are seeking a highly skilled and experienced Snowflake Architect to join our dynamic team. In this role, you will be responsible for designing and implementing scalable and efficient data solutions using Snowflake's Cloud Data Platform. You will work closely with various teams to understand their data needs and translate them into robust, efficient, scalable, and secure data solutions. Your expertise in Snowflake architecture, data warehousing, and data modeling will be crucial in driving our data strategy and ensuring the optimal performance of our data systems.

Responsibilities
  • Design and implement data architectures using Snowflake to meet business requirements.
  • Develop and manage Snowflake solutions, including data warehousing, ETL processes, and data modeling.
  • Collaborate with stakeholders to understand business requirements and develop data strategies.
  • Ensure data security, data governance, and compliance with relevant regulations.
Required Skills
  • DATA ARCHITECTURE:
    The candidate must have a strong understanding of data architecture principles, methods, and techniques. They should be able to design and implement data architectures that meet business requirements and align with company strategy.
  • Snowflake:
    The candidate must have hands-on experience with Snowflake. They should be able to design, develop, and manage Snowflake solutions to meet business needs.
  • Solution Architecture:
    The candidate must have experience in solution architecture. They should be able to design and implement solutions that meet business requirements and align with company strategy.
  • The candidate must have a Bachelor's degree in Computer Science, Information Systems, or a related field; a Master's degree is preferred.
Preferred Skills
  • Data Strategy:
    Experience in developing and implementing data strategies.
  • Data Warehousing:
    Knowledge of data warehousing principles and best practices.
  • ETL:
    Experience with ETL (Extract, Transform, Load) processes and tools.
  • SQL:
    Proficiency in SQL (Structured Query Language).
  • Cloud Platforms:
    Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Data Modeling:
    Knowledge of data modeling principles and techniques.
  • Big Data:
    Experience with big data technologies like Hadoop, Spark, etc.
  • Data Governance:
    Understanding of data governance principles and practices.
  • Data Security:
    Knowledge of data security principles and best practices.
  • Project Management:
    Experience in managing projects and leading teams.
  • Competitive salary and benefits package
  • Culture focused on…
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