Job Responsibilities :
The identified resource will be responsible for producing the following deliverables, each finalized and submitted in a designated shared access space :
a. Kickoff pack : scope confirmation, plan, stakeholder schedule, comms / escalation model.
b. Discovery Summary (per use-cases Pre-Licensing & Licensing, Rep Hierarchy) :
Requirements specifications :
Business-based design notes :
a. Logical data mapping and traceability pack logical model, source coverage matrix, transformation notes, data quality notes, stewardship
b. Reference-level physical model outline (naming conventions, key candidates, storage format guidance - no DDL).
Metadata and lineage package : captured metadata, lineage diagrams, dependency notes.Business and data rule catalog structure : DQ thresholds, business logic, calculation logic, cleansing / conforming rules.Governance alignment pack : glossary mapping and gap analysis, stewardship RACI, change-control recommendations.Templates and toolkits : reusable templates plus completed exemplars and acceptance checklists.Training package : training deck(s), exercises, reference guides; recordings if sessions are remote.Training delivery : up to 3 sessions (live or recorded).Final knowledge transfer & sustainability handoff checklist and session :
Mid-project review brief : progress, interim findings, decision / issue log, course-correction proposals.Final engagement summary and roadmap : consolidated findings, governance / design recommendations, phased roadmap for expansion to additional domains / use cases.Confluence repository : organized, access-controlled storage of all finalized Skillset :Databricks For profiling pipelines and exploring lineageQlik For understanding reporting logic and embedded business rulesCollibra For metadata and glossary alignmentInternal Data Governance Application For quality rule documentation and governance linkageConfluence For hosting all documentation deliverables and templatesData Modeling Tool Such as Erwin or ER Studio, if available to improve use case design efficiency(ref : hirist.tech)
