Valce Talent Solutions

Technical Writer - GCP

GCP
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Responsibilities

  1. Draft, structure, and standardize all technical and functional documentation for the Master Data Management (MDM) project.
  1. Prepare key deliverables for the analysis and design phase, such as the Functional Specification Document (FSD), Technical Specification Document (TSD), and Origin-Destination (O-D) Matrix.
  1. Document in detail the TO-BE architecture, the relational data model, and the cryptographic security design.
  1. Create operational manuals, maintenance manuals, and end-user guides, specifically for the Data Stewards console.
  1. Structure the Deployment Plan and the operational Runbook for the solution, including rollback procedures.
  1. Ensure all documents comply with the required official institutional formats and project standards.
  1. Work closely with the MDM Architect, Data Engineers, and the security team to accurately extract and capture technical knowledge.

Technical Requirements

  1. Solid and demonstrable experience in drafting technical documentation for data engineering, systems integration, or cloud architecture projects.
  1. General familiarity with the Google Cloud Platform (GCP) ecosystem, including concepts of databases, microservices, and ingestion flows (Batch and Streaming).
  1. Knowledge in documenting interface contracts and APIs (such as the OpenAPI/Swagger standard).
  1. Ability to interpret and document data governance flows, data lineage, and data quality or survivorship rules.
  1. Skill in translating complex technical components (such as matching algorithms and data masking) into clear and easy-to-follow operational manuals.
  1. Excellent spelling, grammar, and technical synthesis skills.
  1. At least 3 years of experience working with:
  1. Projects related to Master Data Management, creation of Data Lakehouse and Data Warehouse, and repositories optimized for analytics.
  1. Handling relational databases
  1. Code optimization for data integration
  1. Implementations in production environments of data solutions
  1. End-to-end data architecture design in GCP

**Work 100% remote, however, we require availability 1 day a week to work on-site with the client**

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