Data Arch Specialist - Jobs in Toronto, ON

Job Description

Data Architecture Specialist/ ConsultantLocation: MontrealAccenture Cloud FirstAccenture is a leader in cloud transformations working with AWS, Azure, Google, and private clouds. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. Our services cover the full spectrum of client needs, from strategy to service management, device-to-cloud networks, workplace solutions, and more.Today, more than ever, companies need to operate and compete at an unprecedented speed and scale as industries are reshaping beneath them. This means innovating faster, creating new revenue streams, deriving more insights from data - and from the edge - and interacting differently with their customers, partners, and employees. Choose Accenture and make delivering this kind of innovative work part of your extraordinary career.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
• At least one MAG cloud platform (e.g., AWS, Azure, GCP)
• Data Ingestion to Multi-layer data platform (e.g., raw, curated)
• Integration design (e.g., APIs), ETL (Extract, Transform & Load), velocity (e.g., streaming)
• Data architecture modern design patterns such as defining the data architecture for cloud native data management
• Data Modelling methodologies & tools
• Reference Architectures to host data and analytics on modern platform
• (Business) Data Definitions & Metadata
• Master & Reference Data Management and governance process
• Metadata management and 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 3 years of working as a Data Governance consultant or directly with clients leveraging popular tools like Informatica, Collibra, IBM, ASG etc.
• A minimum of 3 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.
• A minimum of 3 years facilitating Data cleansing and enrichment through data de-duplication and construction
• A minimum of 3 years in a role that discovered captures the current state of the system, encompassing processes such as data discovery, profiling, inventories.
• A minimum of 3 years in a role that defined processes include data classification, business glossary creation and business rule definition.
• A minimum of 3 years that defined the data architecture for Master data management with knowledge on- At least one popular MDM Platform (Informatica, Reltio, Stibo, IBM)
• A minimum of 3 years in a role that applied processes with aim to operationalize and ensure compliance with policies and include automating rules, workflows, collaboration etc.
• English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the companys activities to avoid this requirement.

Bonus Points if:

• Experience in a role that led measurement and monitoring to determine the value generated and include impact analysis, data lineage, proactive monitoring, operational dashboards, and business value.
• Experience in a role that led repeatable, iterative, and standardized processes to define how the data should be governed. At a minimum, below processes and procedures must have been practiced
• Defining data domains
• Change Management
• Data stewardship and ownership
• Conflict resolution
• Technology Automation
• Communication
• Experience performing:
• 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 Principle
• Online Analytical Processing (OLAP)
• Data Processes
• Data Architecture Principles
• Data Architecture Estimation

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