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Modern Data Governance & Architecture Specialist

Accenture

This is a Contract position in Toronto, ON posted November 3, 2020.

We Are:

Applied Intelligence, the people who love usingdata 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 deepknowledge of just about every industry. We believe a mix of data, analytics,automation, and responsible AI can do almost anything-sparkdigital metamorphoses,  widen the range of what humans can do,and breathe life into smart products and services. Want to join our crew ofsharp analytical minds? Visit us here to find out more about AppliedIntelligence. 

 

You are:

A hands-on Solution Architect who knows how todevelop, design and maintain technologies that work for our clients. Youare 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 helpclients glean the most value from their data. And you know how tocome up with strategies, solutions, and processes for managingenterprise-wide data throughout the data life cycle. You’re a digital nativewho’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 democratisation
  • Data security
  • Compliance & security policies for data access, use & integration