Data Warehouse Architect

Toronto, ON

Post Date: 08/02/2018 Job ID: 13077 Category: Architect - Data/Information

Position:  Data Warehouse Architect

Duration: 12  months 

Qualifications

The Data Warehouse Architect should have the following qualifications, experience &
technical capabilities:

Qualifications and Experience:
  1. Extensive and demonstrated experience leading successful large scale/enterprise data warehousing implementations in designing and developing the architecture for all data warehouse components (e.g. tool integration strategy; source system data ETL strategy, data staging, movement and aggregation; information and analytics delivery; and data quality strategy).
  2. Hands-on experience in data architecting, data mining, large-scale data modeling, metadata management, and platform migration.
  3. Strong knowledge of applicable data privacy practices, regulatory compliance, governance and data security related issues.
  4. Highly developed consulting, presentation and interpersonal skills including written and oral, with demonstrated ability to effectively interact with senior business managers, subject matter experts and business end-users.
  5. Considerable senior level experience in developing and operationalizing Data Governance and Management frameworks including establishing, publishing and implementing Data Governance standards, procedures and guidelines.
  6. BI / DW platform Migration planning & execution experience with emphasis on Dashboards oriented solutions (OBIEE, SAP BOBJ)

Technical Abilities:
  1. Demonstrated technical knowledge of Oracle & SAP data warehouse technologies including EDW, SAP BW / HANA, ODS, ETL: OWB/ ODI, SAP BODS, and BI Tools: Oracle Business Intelligence Enterprise Edition 12c including and GIS mapping (MapViewer) applications; SAP BI (BOBJ) WEB Intelligence, SAP Lumira Designer /  Lumira Discovery, SAP Universe.
  2. Knowledge of data modelling and data profiling / data quality tools including Embarcadero ER Studio and SAP information Steward. Experience in multi-dimensional data modeling techniques and implementing enterprise wide reporting and analytic platforms.
  3. Proven capabilities/ considerable hands-on experience in using OBIEE 11g/12c architecture & OLAP technology; SAP BI (BOBJ), SAP Lumira Designer, SAP Lumira Discovery tool with GIS functionality; Data Integration ETL tools, testing and quality assurance (e.g. ODI, OWB, SAP Data Services BODS and other similar tools;
  4. Considerable experience with Oracle RPD & SAP Universe for semantic layer modelling. Designing / Creating BI semantic layer, metadata and report definitions using Oracle BI Application, OWB, ODI, SAP BODS and applying customizations to the ETL, RPD and SAP Universe.
  5. Demonstrated competencies and knowledge of relational database structures, theories, principles, and dimensional data modeling skills.
  6. Hands on experience utilizing Data Governance and Management frameworks offered by industry analysts and data management organizations including DAMA.

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