Why This Role Stands Out
This Senior Data Architect role at Epic Systems offers a fantastic opportunity to shape enterprise data and AI solutions, driving innovation and best practices. You'll thrive here if you have extensive experience in data architecture and a passion for building cutting-edge systems, with the flexibility of a hybrid work environment. Apply to leverage your expertise and make a significant impact.
Quick Overview
Job Description
For Dice posting - Unable to sponsor - ONLY Candidates that don't require any sponsorship are accepted
Job Title: Senior Data Architect
Work Location & Reporting Address: Indianapolis, IN 46204
Contract duration 6
Key Responsibilities:
Should have 10+ years of 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 implement architecture patterns in a scalable, secure, and supportable way.
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
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