Montréal,

Data Engineering Sr Manager

Location: Toronto/ Montreal/Ottawa

WORK YOU’LL DO

Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you.

+ Plan and deliver technology and business value to the Client and Accenture by leveraging a deep understanding of value based & transaction-based deals.

+ Ensure that the platform requirements are dynamically managed to stay aligned to the business drivers

+ Drive or contribute to commercial and contractual discussions with the client & Accenture stakeholders to ensure that the value proposition for the program is clearly defined and articulated

+ Define and manage the realization of value delivered from the platform on an ongoing basis including effective reporting to the relevant stakeholders

+ Manage client expectations in terms of overall delivery along with Delivery leads on the ground

+ Establish methodology and accelerators to reduce initiation efforts from engagement to engagement

+ Develop an overarching and compelling sales narrative around the offering

+ Become a trusted advisor to help your clients, team, and Accenture Leadership stay current on trends, and innovations across your area of expertise

+ Harvest and build thought leadership, assets, best practices and contribute to the continuous growth of the Accenture

+ Bilingual French an asset

JOB DESCRIPTION

Data Engineering Architects at the Senior Manager level will be responsible for providing solutions to digital age data challenges in multiple industries through architecture, design and implementation of an ecosystem of Hadoop, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on premise and also on Cloud. The solutions typically will include re-engineering the data acquisition, storage, processing, security, data management, governance and analysis using these technologies leading to the implementation of a modern data platform. A solid experience and understanding of considerations for planning, scaling, deployment and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies is required. We are looking for candidates who have a broad set of skills across these areas and who can demonstrate an ability to identify and apply modern data and cloud technologies to architect and implement innovative and differentiated data solutions. Our architects are expected to work with our clients in defining the future state architectures of their data platforms enabling analytical intelligence and then play a lead role to implement a roadmap to reach that state.

Basic Qualifications

+ Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

+ Minimum 10+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Azure Data Lake etc.

+ Minimum 10+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

+ Minimum 10+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

+ Minimum 10+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

+ Minimum 10+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

Preferred Skills

Minimum 10+ years of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale and others

Minimum 10+ years of experience implementing large scale BI/Visualization solutions on Big Data platforms

Minimum 10+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S5, EMR, Redshift

Minimum 10+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc

Minimum 10+ years of experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on AWS, Google and Azure cloud

Minimum 10+ years of experience securing Hadoop/NoSQL based modern data platforms on-premise or on AWS, Google, Azure cloud

Montréal,

Accenture is a global management consulting, technology services and outsourcing company. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world’s most successful companies, Accenture collaborates with its clients to help them become high-performance businesses and governments.

Working with Accenture in the United States,  you can join ranks with more than 211,000 people in 120 countries and work with clients in nearly every major industry worldwide, including 96 of the Fortune Global 100, more than three-quarters of the Fortune Global 500 and government agencies around the world. Accenture’s people build careers in different areas of business, specifically Consulting, Technology and Outsourcing, as well as within our internal corporate functions.

With the breadth of talent our people have, they not only build strong careers, they offer their talents and skills to help clients and communities around the world.

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