WHAT YOU’LL DO

Join our dynamic team dedicated to revolutionizing data analytics for impactful decision-making. The team collaboratively shapes data strategies, optimizing analytics practices to drive business growth.

• Lead large-scale data projects, driving significant impact across the company.
• Partner effectively with engineering, data analysts, data scientists, and business stakeholders.
• Dive deep into product understanding, team roadmaps, technical architecture, and data flow.
• Mentor data-savvy stakeholders on data best practices.
• Expertly design data models (Snowflake, Star, Data Vault 2.0) for clean data structures.
• Lead the design, implementation, and monitoring of large-scale data warehouses.
• Track downstream usage and feedback for continuous improvement.
• Excel in SQL with proficiency in window functions, STRUCT/ARRAY manipulation, and query optimization.
• Adhere to and promote performance best practices based on specific database engine requirements.
• Embrace a passion for data cataloging, metadata management, and adherence to data governance principles.
• Design systems with a test-driven approach for trapping bad-quality data and highlighting alerts.
• Utilize tools like dbt for building efficient data transformation pipelines.

WHO YOU ARE

• 7+ years of hands-on experience in data/analytics engineering.
• Proven expertise in SQL, data modeling, and data governance principles.
• A track record of leading impactful data projects.
• Effective collaboration skills with cross-functional teams.
• In-depth understanding of technical architecture and data flow.
• Ability to mentor and guide stakeholders on data best practices.
• Proficiency in schema design (Snowflake, Star, Data Vault 2.0) and large-scale data warehouse implementation.
• Passion for clean data structures and continuous improvement.
• Strong analytical and problem-solving skills.
• Familiarity with ETL processes and tools.
• Enthusiasm for SQL frameworks like dbt.
• Expertise in owning and managing dbt projects.
• Dedication to applying data governance principles at scale.

#LI-REMOTE