Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Platform Lead (Snowflakes)

London
4 days ago
Create job alert

Job Description:
• The Data Platform lead is responsible for leading software design, service architecture, and software development/solution engineering. You will manage engineers, lead design and code reviews within the service, and investigate emerging technologies to drive continuous improvement of the service:

Key Responsibilities:
• Lead and manage the Snowflake data platform to ensure its scalability, performance, and security.
• Collaborate with data engineering and IT security teams to design and implement robust data governance, security policies, and compliance protocols.
• Monitor Snowflake usage, performance metrics, and costs to optimize resource utilization and reduce expenses.
• Perform regular system audits, update procedures, and improve processes to enhance platform reliability and efficiency.
• Manage data storage, archival, recovery, and backup procedures.
• Lead in the design and development of large-scale data structures and pipelines and efficient Extract/Load/Transform (ELT) workflows.
• Support the integration of Snowflake with other data management and analytics tools.
• Provide technical leadership and guidance in the deployment and maintenance of Snowflake features such as Snowpipe, virtual warehouses, and data sharing.
• Develop and maintain documentation regarding our data platform's configurations, operations, and troubleshooting procedures.
• Train and mentor team members on Snowflake best practices and new features.

What we are looking for
Required Qualifications
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 6 years of experience in data platform administration, specifically with Snowflake.
• Strong understanding of SQL and experience with script languages such as Python or JavaScript.
• Demonstrated ability to implement and manage virtual warehouses, resource monitors, and data security protocols on Snowflake.
• Experience with data modeling, data warehousing, and building ELT pipelines.
• Excellent problem-solving skills and the ability to think analytically.
• Strong communication and collaboration skills, capable of working effectively in a team environment.
• Certifications in Snowflake Data Analyst or Data Engineer or Data Scientist are highly preferred

Related Jobs

View all jobs

Risk Reporting Data Engineering Lead

Lead Azure Data Engineer

Lead Data Engineer

Senior Data Engineer

Lead Data Engineer

Data Engineer - Gen AI - £140,000

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Engineering Jobs: DBS, References & Right-to-Work and more Explained

The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.

Why Now Is the Perfect Time to Launch Your Career in Data Engineering: The UK's Data Infrastructure Revolution

The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering career success.

Automate Your Data Engineering Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data roles drop across banks, scaleups, consultancies, public sector & product teams daily—often hidden in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.dataengineeringjobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours every week. What You’ll Have Working In 30 Minutes A role & keyword map across Data Engineering, Platform, Streaming, Analytics Engineering, DataOps, Governance & MLOps-adjacent work. Shareable Boolean strings for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.