Remote Snowflake Certified Architect / Senior Developer
Mindboard, Inc.
United States
27 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Microsoft Azure
Cloud Computing
Cloud Engineering
Cluster Analysis
Continuous Integration
Information Engineering
Data Governance
Extract Transform Load (ETL)
Data Security
Data Sharing
+29 more
Data Warehousing
DevOps
Information Systems Security Architecture Professional
Python (Programming Language)
Machine Learning
Meta-Data Management
Performance Tuning
Role-Based Access Control
Power BI
Cloud Services
Standard Sql
Azure Machine Learning
SQL Stored Procedures
SQL Databases
Data Streaming
Tableau (Software)
Management of Software Versions
Feature Engineering
Snowflake
Apache Spark
Git
Kubernetes
Star Schema
Apache Kafka
Machine Learning Operations
Tools for Reporting
Looker Analytics
Serverless Computing
Docker
Job description
JD: We are seeking a Snowflake Certified Architect / Senior Developer with deep experience in data warehousing, cloud data platforms, and machine learning implementation. The ideal candidate will design scalable Snowflake architecture, optimize performance, and collaborate with data science teams to operationalize ML use cases., * Architect, design, and implement scalable data warehouse solutions using Snowflake
- Lead end-to-end Snowflake migrations, data modeling (Star/Snowflake Schema), and ELT/ETL pipelines
- Develop and optimize Snowflake features including Snowpipe, Streams & Tasks, Data Sharing, and Time Travel
- Build and operationalize machine learning models using Python, SQL, and cloud-native ML services (AWS/GCP/Azure)
- Implement MLOps workflows for automated model training, deployment, versioning, and monitoring
- Integrate Snowflake with data engineering and analytics tools such as dbt, Airflow, Kafka, FiveTran, Informatica, etc.
- Ensure data security, governance, and compliance following best practices (RBAC, masking, encryption)
- Performance tuning of Snowflake warehouses, storage costs, clustering, materialized views
- Collaborate with cross-functional teams including business, data engineering, and data science
- Mentor junior engineers and contribute to architectural standards and best practices
Requirements
- Snowflake Architect or Advanced Certification required
- 10+ years in Data Engineering / DW development
- 7+ years hands-on experience with Snowflake platform
- Strong SQL, stored procedures, and performance tuning skills
- Experience with Python for data processing and ML model development
- Cloud experience: AWS / Azure / GCP
- Hands-on with ELT frameworks, CI/CD pipelines, Git, and DevOps tools
- Machine Learning knowledge: feature engineering, model training, deployment & optimization
- Experience with data loading tools (Spark, Glue, Kafka, DBT, etc.)
- Strong understanding of data governance, metadata management, and security architectures
Preferred Qualifications
- Experience with Kubernetes / Docker / Serverless compute
- Experience with Snowpark for Python and ML within Snowflake
- Knowledge of real-time streaming architectures
- Experience with Looker, Power BI, Tableau, or other BI tools
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