Senior Data Architect
Infosys Pontoon•Indianapolis, IN
•Onsite
About The Position
This role involves leading the architecture, design, and selective hands-on implementation of enterprise data and AI solutions from concept through production. The Senior Data Architect will define end-to-end architecture patterns for various data processes, build prototypes, establish reusable design patterns, and guide the integration of AI capabilities. The position also requires defining standards for data governance and collaborating with cross-functional teams to drive adoption of enterprise architecture standards.
Requirements
- 10 years or more experience
- Experience leading the architecture, design and selective hands on implementation of enterprise data and AI solutions from concept through production.
- Experience defining end to end architecture patterns covering data ingestion, transformation, semantic modeling, retrieval, model orchestration, inference, integration, and deployment.
- Experience building prototypes and proof of concepts to validate architecture decisions, evaluate emerging technologies, and accelerate adoption of new data and AI capabilities.
- Experience establishing reusable design patterns for agentic, analytical, and model-driven workflows using cloud-native and enterprise data platforms.
- Experience designing and guiding integration of AI capabilities with enterprise applications, APIs, and data platforms such as Snowflake.
- Experience partnering with engineering teams to ensure architecture patterns are implemented in a scalable, secure, and supportable manner.
- Experience defining standards for metadata, lineage, governance, observability, and lifecycle management across data and AI solutions.
- Experience evaluating tradeoffs across tools, models, platforms, and integration approaches, and recommending solutions aligned to enterprise strategy and business needs.
- Experience collaborating with cross-functional teams to align architecture, platform capabilities, and delivery roadmaps.
- Experience driving adoption of enterprise architecture standards, reusable frameworks, and best practices across data and AI initiatives.
Responsibilities
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
