Senior Analytics Engineer
Published: 1 week ago
Braze
Braze is the leading customer engagement platform that empowers brands to Be Absolutely
Job Location
Job Type
Full TimeVisa Sponsorship
Not AvailableRelocation
AllowedHiring contact
Bill MagnusonThe Role
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.
Responsibilities:
- Lead the design, implementation, and monitoring of large-scale data warehouses.
- Excel in SQL with proficiency in window functions, STRUCT/ARRAY manipulation, and query optimization.
- 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.
- Track downstream usage and feedback for continuous improvement.
- 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.
- Partner effectively with engineering, data analysts, data scientists, and business stakeholders.
WHO YOU ARE
The ideal candidate for this role possesses:
- 4+ years of hands-on experience in Snowflake and other cloud data warehouses.
- Proven expertise in SQL, data modeling, and data governance principles using dbt.
- 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.
- Enthusiasm for SQL frameworks like dbt.
- Expertise in owning and managing dbt projects.
- Dedication to applying data governance principles at scale.