Our leading entertainment client is expanding their data team and seeking a Senior Data Architect with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.
• Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more.
• Support data visualization initiatives and ensure data is accessible and actionable.
• Work in a highly collaborative environment that values fast learners and team players.
Spend approximately 80% of your time in hands-on development using Python and SQL.
Data Analytics Engineering (Approx. 80% of time)
Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues.
Tools & Skills: Proficient in Python and SQL for pipeline development. Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones.
Mindset: Business-oriented with a strong analytical approach.
AI/ML Initiatives (Approx. 5% of time)
Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI.
Scope: Limited involvement, primarily assisting with existing initiatives and tools.
Data Engineering (Approx. 15% of time)
Responsibilities: Design and implement scalable data models, pipelines, and architecture.
Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.