What are the responsibilities and job description for the Senior Data Engineer Snowflake & AI Data Platform position at Fixity Technologies?
We are seeking an experienced Snowflake Data Engineer to design, build, and optimize modern cloud-based data platforms. The ideal candidate will have strong expertise in Snowflake, Python, SQL, Airflow, and AI powered analytics, with a passion for building scalable data products and leveraging modern engineering practices.
Key Responsibilities:
You will design and develop scalable Snowflake-based data solutions
You will build and optimize ELT/ETL pipelines and data models
You will leverage Snowflake Cortex to enable AI-powered analytics and insights
You will develop and manage Airflow workflows and orchestration frameworks
You will implement Spec-Driven Development using Cursor and AI-assisted engineering
You will create Power BI-ready semantic layers and analytics datasets
You will drive automation, testing, monitoring, and CI/CD best practices
You will collaborate with business and analytics teams to deliver high-quality data products
Experience Required & Education:
8 12 years of experience in Data Engineering and Cloud Data Platforms
Bachelor's/master's degree in computer science, Engineering, or related field.
Must-Have:
Expert in Snowflake (Architecture, Data Modeling, Performance Tuning, Snowpark, Dynamic Tables, Streams & Tasks)
Hands-on experience with Snowflake Cortex (Cortex Analyst, Cortex Search, AI-powered analytics)
Strong expertise in Python and advanced SQL
Experience building scalable ETL/ELT pipelines
Strong knowledge of Apache Airflow for workflow orchestration
Experience with Power BI datasets, semantic models, and report optimization
Proficient in Cursor IDE and AI-assisted development
Hands-on experience with Spec-Driven Development (SDD) and metadata-driven engineering
Strong understanding of Git, CI/CD, and DataOps practices
Experience integrating data from APIs, SaaS applications, and enterprise systems
Good to Have:
Experience with Terraform and Infrastructure as Code
Exposure to Datadog or enterprise monitoring tools
Experience with AI/GenAI-driven data engineering solutions
Knowledge of Azure/AWS cloud platforms
Retail, Consumer, or QSR domain experience
Experience working in Agile product teams
Exposure to modern data platform modernization initiatives
Salary : $140