Senior Data Architect 21605-1

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Location is Hybrid (Burbank, CA). The start date is August 26, 2025 or two weeks from offer for this 1-year contract position.

Job Title: Senior Data Architect

Location-Type: Hybrid (Tues–Thurs onsite)

Start Date Is: August 26, 2025 or two weeks from offer

Duration: 1 year contract

Compensation Range: $90.00/hr – $110.00/hr W2

Design, build, and govern scalable, reusable, cloud-native data architectures and pipelines to power analytics, forecasting, and AI-driven insights, ensuring alignment with enterprise governance standards.

Day-to-Day Responsibilities:

• Define and maintain canonical data models, semantic layer specifications, and entity relationships for consistent use across domains
• Develop logical and physical data models supporting real-time analytics and forecasting
• Architect resilient, high-performance batch and streaming pipelines using AWS-native services (Glue, Kinesis, Lambda, Step Functions)
• Partner with governance teams to embed metadata, lineage, access controls, and data quality into the design process
• Implement APIs, semantic models, and reusable data services for multi-team adoption
• Collaborate with product pods, cloud architects, and engineers to deliver shared services and resolve semantic conflicts
• Enable ML/AI-ready pipelines and accelerate model development by structuring data for analytics use cases

Requirements:

Must-Haves:

• 7 years' experience designing and delivering data architecture for cloud-based platforms
• Deep AWS expertise (Glue, Lambda, Step Functions, Lake Formation)
• Proficiency with modern tooling (Snowflake, Databricks, Informatica)
• Proven ability to design scalable, reusable canonical and semantic data models
• Hands-on pipeline design and orchestration for batch and real-time processing
• Knowledge of governance, lineage, and quality best practices
• Strong cross-functional collaboration skills and ability to translate architecture decisions across technical and business audiences

Nice-to-Haves:

• Experience in media, entertainment, or financial analytics
• MLOps and AI/ML data enablement experience

About the Company:

Mondo