Solution Architect

Expleo Group

The Technical Architect is the visionary responsible for the system's design. They determine how the data quality framework will be built and what technologies will power it.

System Design: Design the end-to-end data architecture, ensuring the DQ framework is scalable, secure, and fits within the broader enterprise data ecosystem.
Tool Selection: Evaluate and select the right data quality, profiling, and cataloging tool where applicable

Responsibilities

Framework Definition: Define the core DQ dimensions to be measured (Completeness, Uniqueness, Timeliness, Validity, Accuracy, Consistency) and establish the standardized rules for data governance.
Best Practices: Set coding standards, deployment strategies (CI/CD for data), and devise the error-handling mechanisms
Engineering Standards: Set Python and SQL coding standards, branching strategy, CI/CD for data (build, test, promote), automated quality gates, observability and error-handling mechanisms

Technical Governance: Conduct design and code reviews, validate non-functional requirements (performance, volume, availability) and guide the engineering team

Qualifications

Solution Architecture Document (SAD): The master blueprint (often including architectural diagrams) detailing how data flows from source to target, and where DQ checks are applied.
Tool Evaluation & Recommendation Matrix: A formal comparison of evaluated DQ tools detailing why specific technologies were chosen.
Data Quality Framework Blueprint: The documented standards for how DQ will be implemented system-wide, including error-handling logic and CI/CD deployment strategies.