Job Specifications
Who Are We?
Decentralized Masters is at the forefront of DeFi education globally. In just two years, we have grown from a pioneering pair of co-founders to over 120 dedicated professionals. Today, we are recognized as one of the fastest-growing enterprises in the sector, with industry insiders predicting our evolution into a unicorn company by 2030. Operating on a bootstrapped model, we are on track to achieve an impressive $50 million in revenue this year alone.
Our Impact
While our growth has been remarkable, we take even greater pride in the success of our clients. To date, we have empowered over 4,000 investors to break into the DeFi world. At Decentralized Masters, we don't just offer education; we cultivate a powerhouse of knowledge combined with an engaging community, innovative technology, and a team of leading DeFi and blockchain experts. Our commitment is to deliver unparalleled resources designed for long-term success in the world of DeFi and Web3, ensuring our members not only safeguard but also enhance their financial future.
Our Vision
Our goal is to create the largest and most influential DeFi ecosystem the world has ever seen, starting with becoming the gold standard in DeFi education. This vision is ambitious, transformative, and poised to change the landscape of digital finance.
Are You Ready?
This is more than just a job; it's an opportunity to shape the future of Web3 technology and education. Are you ready to be part of our vision to redefine what's possible in DeFi and beyond? Apply below, and let's explore this journey together.
Check us out here: Decentralized Masters
What will you be doing?
As the Analytics Engineer, you'll be at the center of how data flows across Decentralized Masters. You'll architect and own our Snowflake data warehouse, design automated data pipelines from marketing platforms, CRM systems, and payment tools, and build dashboards that turn complex data into clear, actionable insights for our leadership team.
This hands-on role blends data engineering, SQL development, and business intelligence, offering a chance to make a direct impact on company-wide decision-making as we scale from $50M to unicorn status.
Key Responsibilities
Snowflake Data Warehouse Management
Architect and manage our Snowflake environment (schemas, warehouses, users, roles)
Design and implement data models using Bronze → Silver → Gold layer architecture
Write advanced SQL to transform, clean, and aggregate data from multiple sources
Optimize query performance and costs in Snowflake
Implement data governance and security best practices
Data Pipeline & Integration Management
Configure and maintain ETL/ELT tools (Fivetran, Airbyte, or similar) to sync data into Snowflake
Connect data sources: HubSpot (CRM/marketing), ad platforms (Meta, Google, TikTok), Stripe (payments), and analytics tools
Monitor pipeline health, troubleshoot data consistency issues, and ensure data freshness
Handle schema changes and API updates
Data Modeling and Transformation
Design dimensional data models (fact and dimension tables, star schemas)
Build standardized business metrics for marketing, sales, and finance
Combine, clean, and transform data from multiple sources for consistent business use
Collaborate with stakeholders to translate business needs into scalable data structures
Business Intelligence and Reporting
Build and maintain dashboards (Sigma Computing, Tableau, Power BI, or similar) that empower business teams with real-time insights
Create executive dashboards for marketing performance, sales funnel, customer analytics, and revenue metrics
Define, document, and maintain consistent KPIs across departments
Perform ad-hoc analysis to answer critical business questions
Automation and Data Quality
Implement automated workflows for reporting and data synchronization
Build data quality checks, alerts, and monitoring to maintain reliability
Create and maintain documentation for all pipelines, data models, and metrics
Requirements
What do you bring?
Must-Have Skills:
4-6+ years as Analytics Engineer, Data Engineer, or BI Developer
Expert-level Snowflake experience (this is the #1 requirement)
Built production Snowflake data warehouses
Designed schemas and optimized performance
Advanced SQL proficiency - Complex joins, CTEs, window functions, query optimization
ETL/pipeline experience - Configured tools like Fivetran, Airbyte, or Stitch
Data modeling expertise - Dimensional modeling, star schemas, fact/dimension tables
BI tool experience - Built executive dashboards in Sigma, Tableau, Power BI, Looker, or similar
Business acumen - Understanding of marketing metrics (CAC, LTV, ROAS), SaaS metrics (MRR, ARR, churn)
Strong communication - Translate technical concepts for non-technical stakeholders
Preferred Skills:
Experience with HubSpot or similar CRM data structures
Python or JavaScript for scripting and automation
Knowledge of workflow automation tools
Familiarity with API-based integra