Snowflake Technical Lead – BI

Employment Type: Permanent / Full-Time Department: Data & Analytics / BI

Location:
Brussels / 3 days on site

About the Role
For one of our customers in the energy sector, we are seeking a highly skilled and strategic Key Technical Lead (KTL) to spearhead the transformation of their Business Intelligence landscape. The customer is currently in the process of migrating from a legacy systems to a modern, cloud-based data platform built on Snowflake. This is a critical hybrid role for a professional who thrives on both high-level architecture and hands-on development. You will act as the primary technical point of contact (SPOC) during the migration phase, defining the standards that will govern the new ecosystem. Following the migration, you will transition into the leader of the development team, ensuring the platform scales to meet the evolving demands of the energy sector.

Key Responsibilities
Phase 1: Migration & Architecture (The Build)
• Technical Leadership: Act as the primary technical point of contact (SPOC) during the migration process, liaising between stakeholders, architects, and the engineering team.
• Migration Strategy: Participate actively in high-level discussions regarding migration strategies, wave planning, and cutover processes.
• Hands-On Development: Lead by example with hands-on ETL/ELT development, performance tuning, and complex data modeling within Snowflake.
• Standardization: Define, document, and implement development standards for the new platform, covering coding best practices, deployment pipelines (CI/CD), documentation protocols, and testing frameworks.
• Release Management: Oversee release management cycles, including preparation for weekly Change Advisory Board (CAB) discussions and ensuring smooth deployment to production.
• FinOps Management: Establish and monitor Snowflake FinOps practices, ensuring cost-efficiency and resource optimization from day one. Phase 2: Leadership & Maintenance (The Run)
• Team Leadership: Lead, mentor, and onboard new Medior and Senior BI Engineers as they join the team.
• Continuous Improvement: Maintain and evolve the development standards post-migration, ensuring the platform scales with business needs.
• Governance: Ensure data integrity, security, and governance policies are adhered to across the cloud environment. Key Requirements & Qualifications

Experience:
• 10+ years of experience in Business Intelligence, Data Engineering, or Data Warehousing.
• 6+ years of hands-on experience specifically with Snowflake.
• 3+ years of experience in a Technical Lead or Team Lead capacity, managing engineering teams.
• Proven track record of leading at least one full-cycle migration from on-premise to a cloud-based data solution. Technical Expertise:
• Snowflake Mastery: Deep expertise in Snowflake architecture, performance tuning, security features (RBAC), and cost management.
• Data Warehousing: Strong understanding of Kimball dimensional modeling methodologies.
• ETL/ELT: Extensive experience in ETL/ELT development and orchestration tools (e.g., dbt, Airflow, Matillion, or similar).
• Data Handling: Experience managing diverse data sources (structured and semi-structured) from both on-premise and cloud environments.
• Testing Frameworks: Experience establishing automated testing frameworks for data pipelines.
• Release Management: Familiarity with CI/CD pipelines and formal release management processes (CAB). Soft

Skills:
• Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving mindset.
• Ability to thrive in a fast-paced, evolving environment.
• Fluent in French and English. Dutch is a plus. Preferred Qualifications (Nice to Have)
• Energy Sector Knowledge: Strong plus if you have experience with energy data (e.g., smart meter data, grid operations, trading data, or market operations).
• Snowflake Certifications: Possession of SnowPro Core or Advanced Architect certifications is a strong plus.
• Other Cloud Platforms: Experience with Azure or AWS native data tools.

How to Apply
Apply directly via LinkedIn. Include your resume and a brief note on your experience. By applying to this position, you consent to our Privacy Policy (vivadax.com/privacy)