Senior AWS Snowflake Data 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

Job Description

We are seeking a highly skilled and motivated Senior AWS Snowflake Engineer to join our growing data engineering team. In this role, you will be responsible for building scalable and secure data pipelines and Snowflake-based architectures that power data analytics across the organization. You’ll collaborate with business and technical stakeholders to design robust solutions in an AWS environment and play a key role in driving our data strategy forward.

Responsibilities

• Design, develop, and maintain efficient and scalable Snowflake data warehouse solutions on AWS.

• Build robust ETL/ELT pipelines using SQL, Python, and AWS services (e.g., Glue, Lambda, S3).

• Collaborate with data analysts, engineers, and business teams to gather requirements and design data models aligned with business needs.

• Optimize Snowflake performance through best practices in clustering, partitioning, caching, and query tuning.

• Ensure data quality, accuracy, and completeness across data pipelines and warehouse processes.

• Maintain documentation and enforce best practices for data architecture, governance, and security.

• Continuously evaluate tools, technologies, and processes to improve system reliability, scalability, and performance.

• Ensure compliance with relevant data privacy and security regulations (e.g., GDPR, CCPA).

Qualifications

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

• Minimum 5 years of experience in data engineering, with at least 3 years of hands-on experience with Snowflake.

• Strong experience working with AWS services such as S3, Glue, Lambda, Redshift, and IAM.

• Proficient in SQL and Python for data transformation and scripting.

• Solid understanding of data modeling principles (Star/Snowflake schema, normalization/denormalization).

• Experience in performance tuning and Snowflake optimization techniques.

• Excellent problem-solving skills and ability to work independently or as part of a team.

• Strong communication skills, both written and verbal.

Additional Information

• Snowflake certification(s) (e.g., SnowPro Core).

• Familiarity with DevOps tools (CI/CD pipelines, Git, etc.).

• Experience with agile development methodologies.

• Exposure to other data warehousing solutions like AWS Redshift or Google BigQuery.