Claude Code isn't autocomplete. It's the data architecture engine senior engineers now build around.
You've spent years earning trust through hand-built systems and painstaking design reviews. Data architecture used to take a separate career path to master. Now Claude Code compresses that path: senior engineers pick up dimensional modeling, ingestion design, and governance in a single day, and data architects use AI to move from hand-built pipelines to full platform designs in hours instead of weeks. This workshop teaches you that shift, whichever side of it you're standing on, before it becomes the baseline instead of the edge.
Built from years architecting data systems. Keynotes and workshops, in-person or virtual, that leave you informed, capable, changed. Over 1,000 professionals across past workshops walked out doing things differently.
You already know how a real system behaves under load: the edge cases in distributed pipelines, the trade-offs between build and buy, the failures that hide in the gaps between components and teams. Claude Code cannot manufacture that judgment. This workshop teaches you to encode it: into architecture patterns, into review processes, into technical decisions that move at the speed of AI without losing the depth of your engineering experience.
Decisions that used to require multiple review cycles now have structured reasoning behind them from the first draft. Claude Code becomes your design partner, surfacing trade-offs across service boundaries, storage layers, and ingestion strategies before a line of code is written. Your judgment still drives every decision. The speed just changes.
Complex systems and queries that took hours to write, debug, and tune now get reviewed, restructured, and performance-analyzed in minutes. You stop writing from scratch and start directing with precision, applying execution analysis, identifying bottlenecks, and validating logic against real enterprise patterns. The output quality goes up because your architectural oversight goes up.
Architecture decision records, system diagrams, data dictionaries, and governance artifacts that were perpetually out of date now get generated and maintained as part of the engineering workflow. You leave with a documentation system that scales, one that keeps your systems and data platforms trusted and auditable without the manual overhead that makes documentation the first thing teams skip.
Eight capability domains. One production platform, built end to end with real data architecture. Built live, in one day.
Design end-to-end platforms with AI-assisted trade-off analysis: ingestion, transformation, and serving layers reasoned together.
Design and validate batch and streaming ingestion with Claude Code: CDC pipelines, schema drift detection, and source-to-lake orchestration, directed instead of hand-wired.
Direct agents to generate, tune, and validate query logic against execution plans, join order, index selection, cardinality skew, at a depth and speed manual review can't match.
Build dimensional models, fact-dimension schemas, and warehouse designs with architectural consistency across the full analytics layer.
Architect lakehouses, data warehouses, and cloud-native analytics platforms with documented patterns that hold up at enterprise scale.
Embed data quality checks, lineage tracking, and governance controls into platform design, not as an afterthought, but as architecture.
Move from data model to analytical dashboard faster, with Power BI and reporting workflows that Claude Code helps design and validate.
Generate data dictionaries, architecture docs, and decision records that stay current with your platform, without the manual maintenance burden.
The paradigms every senior data architect reasons in. Not vocabulary, fluency, built live, in one day.
Scheduled, high-throughput jobs over bounded data, and real-time, event-by-event handling of unbounded data. Accuracy on one end, sub-second reaction on the other.
Batch and speed layers running side by side, reconciled into one serving view. Batch accuracy with streaming freshness.
A single stream-only pipeline over a replayable log. One code path, history reprocessed by replay instead of a separate batch layer.
Bronze, silver, gold refinement layers. Raw to trusted to business-ready, the backbone of a modern lakehouse.
Decentralized, domain-owned data products with federated governance. Ownership scaled across teams instead of one central bottleneck.
Change data capture and event sourcing. Every change propagated as an event, systems kept in sync without brittle nightly dumps.
Hubs, links, and satellites for auditable, insert-only warehouse history. A model that absorbs source change without breaking.
One day separates the engineers who direct AI from the ones who explain why they didn't.
Your org has a hard technical problem. They call you, not because you're available, but because you solve it fastest. You design, validate, and document architecture in the time it takes others to schedule the meeting.
Sprint needs the system design by Friday? You ship Thursday. Analytics platform due next quarter? Architecture's ready next week. The person who makes the deadline leads the next one.
Most architects have opinions. You have artifacts: documented decisions, dimensional models, governance frameworks, data dictionaries, physical handbook. "I know how to do this" versus "here is how I did it."
You're not working longer. You're working differently. Your team notices. They start asking what changed. That question is worth more than any performance review cycle.
40 seats.
One cohort. Chennai.
The last workshop's early bird filled in 4 days; the payment link had barely been live 48 hours when the last seat went. The engineers and architects in this cohort will be operating at a measurably different level by Q3 planning season. The ones who wait will watch them land the strategic projects.
Only 10 Early Bird seats at ₹3,999. Standard pricing applies once those 10 seats are gone. Cohort closes at 40.
This is not an introduction to data engineering. It is a precision workshop for senior professionals who already know how enterprise systems work and want data architecture fluency, with AI directing the heavy lifting. Junior engineers are not the audience.
Data architecture is the leverage skill your systems experience is missing. Claude Code compresses years of learning dimensional modeling and ingestion design into one day.
Who make cross-team technical decisions and need data platform trade-off analysis, storage, ingestion, modeling, in the same toolkit as their software judgment.
AI is the new leverage tool for the platform design work you already do. Move from hand-built pipelines to full platform designs in hours, not weeks.
Who build and operate pipelines and want to move from implementation to full architectural ownership, with AI handling the structural thinking.
Who evaluate platform decisions across software and data, and want data architecture fluency to move as fast as their software judgment already does.
Who lead engineering teams and want data architecture literacy to raise their team's platform decisions, not just their code.
Here is what this day is worth, line by line.
Senior software engineers, staff and principal engineers, data architects, data and analytics engineers, solution architects, and technical leads with hands-on experience building enterprise systems or data platforms. If you understand how real production systems behave and want to move faster without losing architectural depth, this workshop is for you.
None. You need strong engineering and architecture instincts. This workshop is about directing Claude Code with precision, using your domain expertise to guide AI toward better system and platform designs, not studying AI theory.
The workshop uses Claude Code as the primary tool. Architecture patterns, technical decision-making frameworks, and SQL engineering techniques transfer across software stacks, cloud platforms (AWS, Azure, GCP), and data warehouse technologies. Bring your laptop and a Claude subscription.
Architecture is a discipline that sharpens in rooms where engineers push back on each other's assumptions. The real value of this day is not the content alone; it's implementing real platform decisions with expert oversight in a space where every question gets a direct, technically honest answer. Online courses cannot replicate that.
Most of our events are free. This workshop is different: it is a full day of expert-led implementation with a small group deliberately limited to 40 people. The ticket price ensures every person in the room is invested and ready to work. You leave with architecture artifacts, templates, and a physical handbook that would cost significantly more to acquire separately.
Real implementation. Real enterprise scenarios. Real expert. 40 seats only.
Peninsular Research Operation
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