Senior Data Architect - Scale & Governed Analytics Platform

Warner Bros. Discovery

New York (NY)

On-site

USD 136,500 - 253,500

Full time

14 days+

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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.
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