Senior Data Architect - Scale & Governed Analytics Platform
Warner Bros. Discovery
New York (NY)
On-site
USD 136,500 - 253,500
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Health insurance
Employee wellness program
Retirement savings plan
Paid holidays and sick time
Job summary
Warner Bros. Discovery is looking for a Staff Data Architect to enhance its data architecture on Snowflake. This senior role focuses on designing scalable data systems, ensuring data governance, and mentoring engineers. Candidates should have 5–8 years of experience in data engineering, with a deep understanding of cloud data warehousing and hands-on expertise in Snowflake. Great communication skills and experience with analytics-ready data models are essential. The position offers a competitive salary and comprehensive benefits package.
Qualifications
5–8 years of experience in data engineering, data architecture, or a related field.
Hands-on experience in Snowflake including performance tuning and security design.
Proven ability to implement semantic layers and analytics-ready data models.
Responsibilities
Design and implement scalable data architecture patterns on Snowflake.
Lead technical design and implementation of complex data systems.
Partner closely with platform engineering to enhance operational efficiency.
Skills
Cloud data warehousing expertise
Deep expertise in Snowflake
Experience with dbt-based workflows
Strong communication skills
Experience with event data processing
Education
5–8 years in data engineering or related field
Tools
Snowflake
dbt
Looker
Airflow
Job description
Warner Bros. Discovery is looking for a Staff Data Architect to enhance its data architecture on Snowflake. This senior role focuses on designing scalable data systems, ensuring data governance, and mentoring engineers. Candidates should have 5–8 years of experience in data engineering, with a deep understanding of cloud data warehousing and hands-on expertise in Snowflake. Great communication skills and experience with analytics-ready data models are essential. The position offers a competitive salary and comprehensive benefits package.