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Rebuilding Data Engineering with Harness Engineering: A New Paradigm for the Agent Era

Published

27 September 2026

Topic

opportunities

◆ Sectors

Data & AnalyticsAI AgentsAI Infrastructure

◆ Source

Read at hackernoon.com →

◆ Verified

Fusion42 · 27 September 2026 · Fusion42 review

Data platforms like Snowflake and Databricks are evolving to support AI agents directly by reorganising around context, capability, governance, and execution, enabling agents to act on enterprise data rather than just store and query it.

This Wire brief sits within Fusion42's coverage of Data & Analytics, AI Agents and AI Infrastructure.

◆ ◆ The Wire takeaway

Data infrastructure founders must reorient their platforms from human users to AI agents by embedding governance and context to ensure AI-generated workflows are safe and reliable. That shift opens a new product-spread battle between Snowflake and Databricks where your APIs and execution controls will define who gets adopted.

◆ Coverage

1 source · 27 Sep 2026

◆ Related on Wire

◆ Topics

Data & AnalyticsAI AgentsAI Infrastructuredata-engineeringagentic-aidata-platformssnowflakedatabricks