Remote Sr. GCP Data Engineer

Senior Data Architect

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.

Team Dynamic: 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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