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

Ref:

223743

Posted on:

September 14, 2018

Experience level:

Experienced (non-manager)

Education level:

Bachelor's degree or equivalent

Contract type:

Permanent (ca-en)

Location:

Toronto

Department:

Financial Services

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