Sr. Data Architect

Job role – Senior Data Architect

Job location – Toronto, ON

Job type – Full-time


Job Description


Job Overview: We are looking for a seasoned Architect in the Data Management space with proven track record of leading and delivering large financial services enterprise implementations in the Big Data, Cloud, and Analytics space.

Duties & Responsibilities: 
• Over 15 years of experience in Information Technology
• Experience with delivering and managing multiple customer engagements
• Experience with leading large teams at both onsite and offshore
• Experience with handling large engagements in fixed price, T&M, and co-managed models
• Experience with large enterprise grade implementations in Financial Services
• Solution Architecture/Technical Architecture experience, Product Development experience in the Big Data, Analytics (Data Science, Machine Learning, AI, Blockchain) and Cloud space

Core Competencies:
• Strategic analysis, end-to-end planning, and decision making
• Strong technical background in enabling efficient management of technical staff and large programs
• Managing operating margins within an organization stipulated guidelines
• Account relationship management
• Excellent communicator at all levels of customer, internal teams, and stakeholders
• Product, Project, and Program management
• Ability to identify opportunities and develop delivery plans

Basic Technical Requirements
• Experience with Big Data ecosystems and use cases in Financial Services (Banking and Insurance)
• Experience with Hadoop Distributions: Cloudera, IBM Big Insights, MapR, Hortonworks
• Experience with Cloud (IaaS/PaaS) platform: AWS, Azure, Pivotal Cloud Foundry, Bluemix
• Programming Knowledge or Background – Java, Python, Scala, Spark, Unix, Grunt, UDF’s, or similar
• NoSQL – Cassandra, MongoDB, Memcache, HBase, Impala, or similar
• Reporting – Tableau, Microstrategy, Qlik, D3js, or similar
• Security – Sentry, Ranger, Knox, Falcon, Oozie, or similar
• Streaming – Flume, Kafka, Storm, Flink, Samza, or similar
• ETL Technologies – Data Stage, Sqoop, Informatica, Snaplogic, Talend, Pentaho, or similar
• Analytics and Search – Elasticsearch, Lucene, Solr, Splunk, or similar
• Databases – Oracle, SQL Server, Teradata, Greenplum, or similar
• Machine Learning – SparkML, R, Mahout, Pylearn, or similar
• Experience in using file formats like XML, JSON, Avro, Parquet, sequence and text files
• Exposure to DevOps technologies like GitHub, Jenkins, Docker, Kubernetes, Openstack, or similar
• Experience with quality assurance and testing of applications
• Open to travel



Posted on:

September 14, 2018

Experience level:

Experienced (non-manager)

Education level:

Bachelor's degree or equivalent

Contract type:

Permanent (ca-en)




Financial Services


By continuing to navigate on this website, you accept the use of cookies.

For more information and to change the setting of cookies on your computer, please read our Privacy Policy.


Close cookie information