Guide
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March 24, 2026

House of Data Series

A strong data program is built like a house. Data Architecture forms the foundation — the platforms, pipelines, and operating model that everything else depends on. Seven domain pillars rise from that foundation, each one essential to a complete data program: Data Quality, Privacy, Data Security, DataOps, Compliance, Data Enablement, and Data Consumption.

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House of Data Series

BARC Research Study: Lessons from The Leading Edge

A strong data program is built like a house. Data Architecture forms the foundation — the platforms, pipelines, and operating model that everything else depends on. Seven domain pillars rise from that foundation, each one essential to a complete data program: Data Quality, Privacy, Data Security, DataOps, Compliance, Data Enablement, and Data Consumption.

This series of whitepapers covers each component of the House of Data in depth. Each paper was written by Jim Barker, with support from practitioners with direct experience in that domain. Together, they form a practical guide to building data programs that earn — and keep — trust.

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Data Leadership Data Literacy Data Quality Privacy Data Security DataOps Compliance Data Enablement Data Consumption Data Architecture
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about the author

Jim Barker

Director of Professional Services

Jim Barker is a lifelong data practitioner, industry thought leader, and passionate advocate for treating data as a strategic asset. With more than four decades of experience spanning data quality, governance, warehousing, migration, and architecture, Jim brings a rare blend of hands-on expertise and executive perspective to the evolving data landscape.

Jim’s journey in data began at just 14 years old. Since then, he has held leadership roles across organizations including Honeywell, Informatica, Thomson Reuters, Winshuttle (Precisely), Alation, nCloud Integrators, and Wavicle, contributing to advancements in data governance, migration methodologies, and enterprise data strategies. His work has included building global data quality programs, developing scalable governance frameworks, and driving innovation recognized across the industry.

His research and writing focus on lean data management, governance strategies, and the intersection of AI, data quality, and enterprise value creation.

Now at Bigeye as Director of Professional Services, Jim is energized by the company’s vision for data observability and its role in shaping the future of trusted data. He continues to share his perspectives through writing and speaking, aiming to elevate the conversation around data, cut through industry noise, and help organizations do data the right way.

Outside of work, Jim enjoys coaching and spending time with his family, often on the basketball court or soccer field, where many of the same lessons about teamwork, discipline, and leadership apply.

As Jim puts it: “Data matters.”