Data Architect

We are expanding our Enterprise Data & Analytics Group by adding a Staff Data Architect professional that will be a data-driven leader with deep experience designing robust enterprise data architectures that support business objectives. This role will help advance the company’s modernization efforts on cloud data platform, enabling a next-generation enterprise AI ecosystem that moves beyond basic chat interfaces and analytics workloads to support Agentic AI systems capable of autonomous reasoning.

As a Data & Semantic Architect, you will design and implement the Context Layer across the data products. You will be responsible for creating canonical models in the Silver layer, defining enterprise ontologies, and native Semantic Views. Your work will ensure that autonomous AI agents have a rock-solid, governed framework to accurately query, traverse, and reason against our data.

• Snowflake Lakehouse Architecture: Architect, build, and scale our Medallion data pipeline (Bronze-to-Silver-to-Gold) using Snowflake Dynamic Tables, Streams, and Tasks for optimized canonical processing.
• Canonical Modeling & Semantic Mapping: Build consolidated, clean entity tables (e.g., Unified Customer Identity, Orders) in the Silver layer from completely mismatched raw source data schemas.
• Snowflake Semantic Views Design: Design native Snowflake Semantic Views to establish the authoritative business definitions of entities, dimensions, facts, metrics, and relationships directly inside the warehouse.
• AI Grounding with Cortex: Configure and tune Snowflake Cortex Analyst and Cortex Search by provisioning clean semantic models and relationship metadata, ensuring AI agents can achieve high accuracy on natural language queries without hallucinations.
• Ontology & Graph-Native Modeling in SQL: Build PoCs to show lightweight ontology tracking and entity-relationship traversing within Snowflake using advanced SQL techniques.
• Data Governance & Contracts: Leverage Snowflake Horizon capabilities to enforce column/row-level security, data quality guardrails, and version-controlled metric schemas so that updates to the semantic plane do not break downstream AI workflows.

• Collaborate with stakeholders to define data strategies and roadmaps.
• Establish and maintain data governance frameworks to ensure data quality and compliance. Implement reusable data quality frameworks.
• Stay up to date with the latest cloud data technologies and trends.
• Evaluate and recommend new data technologies and tools.
• Come up with best practices, well-architected guidance to improve the quality, performance and scalability of the solutions built on Snowflake platform.
• Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
• Ensure data security and privacy through appropriate access controls and encryption.

• Design ETL/ELT processes for data integration from various sources.
• Build software across our data platform, including event-driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies.
• Optimize data storage and retrieval for efficient data access.

• Help us stay ahead of the curve by working closely with data engineers, stream processing specialists, API developers, our Dev Ops team, and analysts to design systems which can scale elastically.
• Work closely with business analysts & business users to understand data requirements.
• Provide technical leadership and mentorship to junior team members.
• Help build and maintain foundational data products such as but not limited to Finance, Titles, Content Sales, Theatrical, Consumer Products etc.
• Collaborate with data engineering, data platform, and data strategy teams to achieve organizational objectives.

• Bachelor’s degree in computer science, information systems, or information technology or similar major.
• 8+ years of enterprise data architecture experience with a proven track record of deploying large-scale Snowflake ecosystems with a focus on Domain…