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About the Role

We are seeking an experienced Snowflake engineer with a strong emphasis on AWS-based data architectures. This role combines Snowflake expertise with AWS services, DBT modeling, and a robust CI/CD approach using Azure DevOps. You will collaborate with data analysts, data engineers, data architects, and business stakeholders to deliver scalable, secure, and high-quality solutions.

Responsibilities

• In-depth knowledge of Snowflake’s data warehousing capabilities.
• Implement robust CI/CD processes for data assets and AWS services using Azure DevOps pipelines, infrastructure as code, and artifact/version control; manage promotion from development to production.
• Understanding of Snowflake’s virtual warehouse architecture and how to optimize performance and cost.
• Proficiency in using Snowflake’s data sharing and integration features for seamless collaboration.
• Develop and optimize complex SQL scripts, stored procedures, and data transformations.
• Work closely with data analysts, architects, and business teams to understand requirements and deliver reliable data solutions.
• Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics.
• Integrate data from various sources including APIs, flat files, relational databases, and cloud services.
• Ensure data quality, data governance, and compliance standards are met.
• Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and associated tools.
• Participate in code reviews, testing, and deployment of data solutions in development and production environments.

Requirements

• Ability to write complex SQL queries, stored procedures, and user-defined functions.
• Skills in optimizing SQL queries for performance and efficiency.
• Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran or similar tools for real-time and periodic data processing.
• Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
• Expertise in AWS data services relevant to Snowflake workloads (e.g., S3 data lake integration, IAM roles, KMS encryption, CloudWatch monitoring).
• Experience designing and implementing AWS-based data pipelines and integrations with Snowflake (data ingestion from S3, Glue, and other AWS services; orchestration patterns).
• Familiarity with Azure DevOps CI/CD pipelines for data assets, including build, test, and release automation, and IaC tooling (e.g., ARM templates, Terraform) as part of the deployment workflow.
• Strong understanding of data security, compliance and governance.
• Experience with DBT for database object modeling and provisioning.
• Experience in version control tools, particularly Azure DevOps.
• Good documentation and coaching practice.

Skills

• Snowflake
• DBT
• AWS
• Azure DevOps
• SQL
• Python
• ETL/ELT
• Snowpipe
• AWS Glue
• openflow
• fivetran
• S3
• IAM
• KMS
• CloudWatch
• ARM templates
• Terraform
• CI/CD

Salary/Compensations

• $120,000 - $140,000

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401(k) Plan
• 11 paid holidays
• 12 weeks of Parental Leave
• Flexible PTO policy

About the Company

• Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.
• Fractal is building a world where individual choices, freedom, and diversity are the greatest assets.
• An ecosystem where human imagination is at the heart of every decision.
• Where no possibility is written off, only challenged to get better.
• We believe that a true Fractalite empowers imagination with intelligence.
• And that it will be such Fractalites that will continue to build the company for the next 100 years.

Equal Opportunity

• Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.