Snowflake Engineer

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.

We are seeking a Snowflake Engineer to join our dynamic Data Engineering team. This role will involve owning the architecture, implementation, and optimization of our Snowflake-based data warehouse solutions while mentoring a team of engineers and driving project success. The ideal candidate will bring deep technical expertise in Snowflake, hands-on experience with DBT (Data Build Tool), and a collaborative mindset for working across data, analytics, and business teams.

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).

• Bachelor’s degree in Computer Science, Information Technology, or related field.

• 3+ 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.