Data Architecture Review

Rajkumar Chatterjee

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Data Architecture Review
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9,99911,999
60 mins

You've spent weeks or months building a complex data solution. Now, you need an independent, expert peer to validate your design, uncover blind spots, and confirm your strategic decisions before you start building or migrating.

This 60-minute session is exclusively designed for Architects, Lead Engineers, and technical leaders who need to:

  1. Validate Target Architecture: Review the conceptual, logical, and physical design of your proposed system for a Data Modernization Program.
  2. Assess Current State: Identify immediate architectural risks, single points of failure, and cost-optimization opportunities in an existing system.
  3. Review Key Trade-offs: Discuss the pros and cons of your chosen Technology Stack (e.g., Snowflake vs. BigQuery, Kafka vs. Kinesis) and Modeling Approach (e.g., Data Mesh vs. Centralized Data Lake).
  4. Ensure Future-Proof Scalability: Confirm the architecture can handle 5x growth in data volume or user concurrency without a re-platforming event.
  5. Align with Business Outcomes: Ensure the design directly addresses the core business challenges and KPIs you were tasked to solve.

Deliverable: You will leave the call with a set of ranked, actionable insights and recommendations on your existing documentation, ready to be presented to stakeholders or development teams.