Technical Lead-Master Data Management
| Company | Accenture |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- A minimum of 4-5 years in a role that discovered captures the current state of the system, encompassing processes such as data discovery, profiling, inventories.
- A minimum of 2 years that defined the data architecture for Master data management with expert level knowledge using Informatica Intelligent data management Cloud
- A minimum of 4 years’ experience defining the data architecture for cloud native data management with focus on Data Definitions & Metadata
- A minimum of 4 years’ experience in- Data Storage Tools & Techniques such as: Data Archiving Patterns & Techniques, Cloud Backup Architecture and Design, Data Warehouse Tools, Data Conversion & Migration, Master Data Management, Metadata Management, Data Management and Integration, Systems Development Lifecycle (SDLC), Data Modeling Techniques and Methodologies, Database Management, Database Technical Design and Build, Extract Transform & Load (ETL) Tools, Cloud Data Architecture, Data Architecture Principles, SAS Data Flux ETL Tools, Online Analytical Processing (OLAP), Data Processes, Data Architecture Principles, Data Architecture Estimation.
Responsibilities
- Design MDM solution with Informatica tools and utilities such as SaaS data integration and data quality components (e.g., IICS, CDQ etc.)
- Defining Master Data Management strategies, designing MDM services and capabilities, Metadata Management, Data Governance, and Data Quality solutions (e.g., IICS, Informatica CDQ, Informatica CDGC, Collibra etc.)
- MDM Hub Data modeling & Data Mapping, Data validation, Match and Merge rules, building and customizing services with SaaS MDM tools like Informatica C360/B360, Reltio etc. and enterprise data integration technologies and methods such as ETL, data replication, data quality validations and golden records publication.
- Enterprise level data analysis and integration work and/or providing data focused systems integration solutions that demonstrate business acumen and the ability to apply technology solutions to solve business problems.
- Support Installation and perform administration functions for the industry popular MDM architecture/platform including custom objects. Own technical deliverables including the codebase.
- Support development of ‘data models’, and define MDM rules for best matching algorithm.
Preferred Qualifications
- Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms
- Experience in Data Modeling, Big Data Platforms (e.g. Cloudera, Hortonworks, AWS, Talend, etc.), Data Migration and Quality (using ETL e.g. Informatica), MySQL/NoSQL, CQRS Event Sourcing
- working as a consultant or directly with clients in a role that had taken ownership of the data assets for the organization to provide users with high-quality data that is accessible in a consistent manner.