Harness Engineering for Data Agents on Databricks: Building Reliable Agentic Data Platforms with MCP, Databricks, Data Contracts, Governance, and Mult

By: Calado, Leandro

Move Beyond Prompt Engineering. Welcome to Harness Engineering.

An AI model can explain a failed pipeline, draft SQL, and suggest a data contract cite: 1]. However, none of those acts establishes that it should be allowed to change production cite: 1]. As the enterprise AI landscape shifts heavily toward AgentOps and secure multi-agent workflows, the biggest challenge is no longer making AI smarter-it is building the strict environment that controls it.

Harness Engineering for Data Agents on Databricks is the definitive guide to designing the runtime and control environment in which model reasoning can safely become action cite: 1]. Instructions shape behavior, but controls constrain behavior cite: 1]. This book teaches you how to separate the model's probabilistic reasoning from the deterministic execution plane of your data platform cite: 1].

Through the lens of a real-world payment company case study cite: 1], author Leandro Calado cite: 1] provides a deep dive into building reliable agentic data platforms cite: 1]. You will learn how to build a harness that owns tool discovery, identity, context selection, stopping conditions, and budgets cite: 1].

Inside this book, you will master:

The Minimum Agency Principle: Learn to use the minimum amount of agency necessary to solve the problem cite: 1].Multi-Agent Orchestration Patterns: Coordinate specialized roles like the Requirements Agent, Catalog Agent, and SQL Agent through typed, immutable handoffs cite: 1].Building an MCP Gateway: Use the Model Context Protocol to expose versioned tools, authenticate callers, authorize each call, and enforce time and cost limits cite: 1].Databricks Implementation: Leverage Unity Catalog as the governance and platform boundary cite: 1]. Use Lakeflow Jobs for workflow automation and Delta Lake for transactional safety and atomic commits cite: 1].The Production Autonomy Budget: Calculate operational blast radius and risk to dynamically route agent decisions to EXECUTE, PREPARE_FOR_APPROVAL, RECOMMEND_ONLY, or DENY cite: 1].Data Contracts & Verification: Treat data contracts as versioned, machine-enforceable agreements cite: 1]. Implement independent quality gates that evaluate program, data, and business correctness before promotion cite: 1].

Harness Engineering for Data Agents on Databricks shows you how to stop treating unconstrained conversation as operational authority cite: 1]. If you are ready to build the autonomous data platform of the future without sacrificing governance and security cite: 1], this book provides the architecture, code, and operational rigor to get you there.

• Format: Paperback
• Language: English
• ISBN: B0HJ14D6LL
• ISBN13: 9798172411250
• Release Date: September 2026
• Publisher: Independently Published
• Length: 210 Pages
• Weight: 0.57 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"