Data Architecture Manager

Data Architect Manager
Location: Toronto
We Are:
Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.
You are:
A hands-on Solution Architect who knows how to develop, design and maintain technologies that work for our clients. You are a next-generation thinker when it comes to what we call Data in the New. Your superpower Using the latest data and analytics technologies to help clients glean the most value from their data. And you know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. You’re a digital native who’s right at home when the challenge calls for teamwork and originality
The work:
- Defining the policies & standards for cloud native data management for structured, semi- and unstructured data use
- Defining the data architecture for cloud native data management with expert level knowledge on
- Popular Cloud Platforms (e.g. AWS, Azure, GCP)
- Data Layers (e.g. raw, curated)
- Integration design (e.g. APIs), ETL (Extract, Transform & Load), velocity (e.g. streaming)
- Data architecture design patterns
- Defining the data architecture for cloud native data management with focus to
- Business process flows to support data sourcing & lineage
- Data Modelling methodologies & tools
- Reference Architectures
- Defining the data architecture for cloud native data management with focus to
- (Business) Data Definitions & Metadata
- Reference Data Management
- Master Data Management (core & critical business data entities)
- Data Lineage
- Defining the data management vision & strategies, managing the change journey and/or playing serving as the “architect” to design and scale end to end data management with special focus to
- Data Quality Rules & KPIs
- Automated Data Cleansing (e.g. use of AI / ML)
- Compliance Rules & KPIs
- Data democratization
- Data security
- Compliance & security policies for data access, use & integration

Here’s what you need:
- A minimum of 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 5 years that defined the data architecture for Master data management with expert level knowledge on- At least one popular MDM Platform (Informatica, Reltio, Stibo, IBM)
- Data Layers (e.g. raw, curated)
- Integration design (e.g. APIs), ETL (Extract, Transform & Load), velocity (e.g. streaming) – Informatica, Snaplogic, Boomi etc.
- Data architecture design patterns
- A minimum of 5 years that defined the data architecture for cloud native data management with focus to- (Business) Data Definitions & Metadata
- Reference Data Management
- Master Data Management (core & critical business data entities)
- Data Lineage
- A minimum of 5 years experience in- Data Storage Tools & Techniques
- 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 DataFlux ETL Tools
- Online Analytical Processing (OLAP)
- Data Processes
- Data Architecture Principles
- Data Architecture Estimation
Bonus Points if:
- 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.
- performing ad-hoc Data extraction and archival; Managing Data life-cycle
- facilitating Data cleansing and enrichment through data de-duplication and construction
- Defining the policies & standards for cloud native data management for structured, semi- and unstructured data us in a role that defined the data architecture for cloud native data management with focus to
- Business process flows to support data sourcing & lineage
- Data Modelling methodologies & tools
- Reference Architectures in a role that defined, the data management vision & strategies, managing the change journey and/or playing serving as the “architect” to design and scale end to end data management with special focus to
- Data Quality Rules & KPIs
- Automated Data Cleansing (e.g. use of AI / ML)
- Compliance Rules & KPIs
- Data democratization
- Data security
- Compliance & security policies for data access, use & integration