Cloud Data Consulting Sr Manager

Cloud Data Consulting Sr Manager

Location: Toronto/Montreal/Ottawa

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 Big Data and Cloud leader—someone who thrives in a team setting where you can use your creative and analytical prowess to obliterate problems. You’re passionate about digital technology, and you take pride in making a tangible difference. You have communication and people skills in spades, along with strong leadership chops. Complex issues don’t faze you thanks to your razor-sharp critical thinking skills. Working in an information systems environment makes you more than happy.

WORK YOU’LL DO
Cloud Data Consulting 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 big data, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on cloud and also on prem. 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 big data, 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 5+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using big data 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, Databricks, Azure Data Lake etc.

• Minimum 5+ 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 5+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

• Minimum 5+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

• Minimum 5+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

• Bilingual french an asset

Bonus Points

• Minimum 4+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S3, EMR, Redshift; or

• Minimum 4+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc; or

• Minimum 4+ years of experience implementing large scale secure cloud data solutions using Azure data and analytics services e.g. Databricks, ADLS; or

• Minimum 4+ 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 Azure, AWS, Google and Azure cloud

• Minimum 4+ years of experience securing modern data platforms on-premise or on AWS, Google, Azure cloud