Lead Snowflake Engineer

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Lead Snowflake Engineer

Key Responsibilities:

• Design and implement scalable and efficient Snowflake data warehouse architectures and ELT pipelines.
• Leverage DBT to build and manage data transformation workflows within Snowflake.
• Lead data modeling efforts to support analytics and reporting needs across the organization.
• Optimize Snowflake performance including query tuning, resource scaling, and storage usage.
• Collaborate with business stakeholders and data analysts to gather requirements and deliver high-quality data solutions.
• Manage and mentor a team of data engineers; provide technical guidance, code reviews, and career development support.
• Establish and enforce best practices for data engineering, including version control, CI/CD, documentation, and data quality.
• Ensure data solutions are secure, compliant, and aligned with privacy regulations (e.g., GDPR, CCPA).
• Continuously evaluate emerging tools and technologies to enhance our data ecosystem.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or related field.
• 6+ years of experience in data engineering, including at least 2+ years of hands-on experience with Snowflake.
• Strong experience with DBT for managing ELT transformations in a modern data stack.
• Proficiency in SQL, Python, and experience working with large-scale data environments.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Demonstrated experience leading engineering teams and managing end-to-end project delivery.
• Strong understanding of data architecture, warehousing concepts, and dimensional modeling.
• Excellent problem-solving, communication, and collaboration skills.
• Familiarity with data governance, security, and privacy standards.

Additional Information

Our Perks and Benefits:

Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 
• Access to AI learning paths to stay up to date with the latest technologies. 
• Study plans, courses, and additional certifications tailored to your role. 
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 
• English lessons to support your professional communication. 

Mentoring and Development:

• Career development plans and mentorship programs to help shape your path. 

Celebrations & Support:

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 
• Company-provided equipment.  

Flexible working options to help you strike the right balance.