Snowflake Technical Specialist
Skills
About the role
This is a Snowflake data architecture role for someone who will lead design and delivery of modern, scalable data platforms. It suits an experienced data architect comfortable owning Snowflake, DBT and Python-based pipelines end to end, working remotely. The role also covers mentoring engineering teams and driving enterprise data transformation.
What you’ll do
- Architect and design data platforms using Snowflake on AWS, Azure or GCP
- Build end-to-end data pipelines with DBT, Python and SQL
- Lead data modeling strategy across dimensional, data vault and lakehouse patterns
- Drive ingestion, transformation, orchestration and performance optimization practices
- Apply Snowflake Cortex and AI capabilities to analytics use cases
- Ensure data governance, security and compliance across platforms
- Translate business requirements into scalable data solutions
- Mentor engineering teams and enforce delivery standards
- Optimize cost, performance and scalability of Snowflake workloads
What they’re looking for
- Strong experience with Snowflake architecture and implementation
- Hands-on DBT modeling, testing and deployment
- Python for data processing and automation
- Advanced SQL / MS SQL for query optimization and warehousing
- Cloud data engineering experience on AWS, Azure or GCP
- Experience building lakehouse or data warehouse platforms
- Understanding of ETL/ELT frameworks, orchestration tools and CI/CD
- Expertise in data modeling, partitioning, clustering and performance tuning
- Proven ability to lead architecture discussions and design reviews
- Strong stakeholder management and communication skills
Nice to have
- Exposure to Snowflake Cortex / AI-ML integration
- Experience with data governance tools such as Collibra or Alation
- Exposure to real-time streaming with Kafka
- Snowflake or cloud platform certifications
- SnowPro Core certification
Questions about this role
Is this role remote?
The listing gives the location as Remote.
How many years of experience do I need?
The posting asks for 5 to 10 years of experience.
What technologies are central to this role?
Snowflake, DBT, Python, SQL and cloud data engineering on AWS, Azure or GCP.
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