Senior Snowflake Data Architect — Remote

Falcon Smart IT (FalconSmartIT); Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Falcon Smart IT in London seeks a Snowflake Consultant with 10+ years in data engineering, cloud data platforms, and Snowflake technologies. You will design, develop, and support scalable data solutions across Snowflake and related cloud services.

You will build data warehouses, data models, and data pipelines; optimize performance; ensure data quality and governance; and work with stakeholders to deliver reliable data solutions.

Qualifications

• 10+ years of IT/data experience required.
• Strong Snowflake expertise with cloud data platforms.
• Experience in data warehousing and data engineering projects.
• Strong SQL skills and experience with ETL/ELT processes.
• Knowledge of cloud-based data platforms and architectures.
• Experience with data modelling and performance tuning.
• Excellent problem-solving and communication abilities.
• Ability to work independently and collaboratively with teams.

Responsibilities

• Design and implement scalable data solutions using Snowflake.
• Develop and optimize data warehouses, models, and pipelines.
• Work with cloud data platforms and modern data engineering technologies.
• Develop and maintain ETL/ELT processes.
• Optimize Snowflake performance and data workloads.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality, governance, and reliability.
• Troubleshoot Snowflake and data platform issues and provide guidance.

Skills

IT/Data experience

Snowflake

Data warehousing

SQL skills

ETL/ELT

Cloud platforms

Data modelling

Problem solving

Independence & collaboration

Job description

Falcon Smart IT in London seeks a Snowflake Consultant with 10+ years in data engineering, cloud data platforms, and Snowflake technologies. You will design, develop, and support scalable data solutions across Snowflake and related cloud services.

You will build data warehouses, data models, and data pipelines; optimize performance; ensure data quality and governance; and work with stakeholders to deliver reliable data solutions.