Data Integration Cloud Architect

Job description

Data Integration Cloud Architect

Location: Toronto

Accenture Digital

The digital revolution is changing everything, transforming how we work and play.  Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries.  At the forefront of digital, you'll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.  Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.

Accenture Applied Intelligence

Applied Intelligence is our unique approach to combining AI with data, analytics and automation under a bold strategic vision to transform your business – not in silos, but across every function and every process, at scale. Applied Intelligence helps you maximize your existing investments and then extend new technologies across your business. With more than 6,000 deep AI experts and 3,000 data scientists, plus the flexibility to work with almost any technology partner, we can help you evaluate, maximize and scale opportunities as they arise – just one reason why 100% of industry analysts consider us among their category leaders.

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

Desired profile

Qualifications :

Here's what you need:

·  5 to 7 years working as a consultant or directly with clients
·  5 to 7 years 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.
·  5 to 7 years facilitating Data cleansing and enrichment through data de-duplication and construction
·  5 to 7 years in a role that discovered captures the current state of the system, encompassing processes such as data discovery, profiling, inventories.
·  Defining the policies & standards for cloud native data management for structured, semi- and unstructured data use
·  5 to 7 years in a role that defined the data architecture for cloud native data management with expert level knowledge on
·  At least one popular Cloud Platforms (AWS or Azure or GCP)
·  Data Layers (e.g. raw, curated)
·  Integration design (e.g. APIs), ETL (Extract, Transform & Load), velocity (e.g. streaming)
·  Data architecture design patterns
·  5 to 7 years 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
·  5 to 7 years in a role 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
·  5 to 7 years 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 democratisation
·  Data security
·  Compliance & security policies for data access, use & integration
·  5 to 7 years performing ad-hoc Data extraction and archival; Managing Data life-cycle.
·  Experienced 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, Network Data Management Protocol (NDMP), Informatica MDM, 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

Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.

We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.

It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.