Data Architect

Key Responsibilities:

• Should have 10+ years or more experience
• Lead the architecture, design and selective hands on implementation of enterprise data and AI solutions from concept through production.
• Define end to end architecture patterns covering data ingestion, transformation, semantic modeling, retrieval, model orchestration, inference, integration, and deployment.
• Build prototypes and proof of concepts to validate architecture decisions, evaluate emerging technologies, and accelerate adoption of new data and AI capabilities.
• Establish reusable design patterns for agentic, analytical, and model-driven workflows using cloud-native and enterprise data platforms.
• Design and guide integration of AI capabilities with enterprise applications, APIs, and data platforms such as Snowflake.
• Partner with engineering teams to ensure architecture patterns are implemented in a scalable, secure, and supportable manner.
• Define standards for metadata, lineage, governance, observability, and lifecycle management across data and AI solutions.
• Evaluate tradeoffs across tools, models, platforms, and integration approaches, and recommend solutions aligned to enterprise strategy and business needs.
• Collaborate with cross-functional teams to align architecture, platform capabilities, and delivery roadmaps.
• Drive adoption of enterprise architecture standards, reusable frameworks, and best practices across data and AI initiatives.

Minimum years of experience

>10 years

Top 3 responsibilities you would expect the Subcon to shoulder and execute

Review

Design

Develop

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.