Job Description :
Terms of the referral payout :
$750 at point of hire of a successful candidate
$750 6 months following the start date
Click here for more information
Role Summary :
The Data & Analytics organization that is dedicated to providing information management services including Data Architecture and Engineering, Data Enablement, Data Integration, CoE capabilities in Cloud solutions, Big Data and Data Science, and enabling analytics reporting and visualization capabilities across the enterprise.
The Big Data Architect role is on the Big Data CoE team which is accountable for design, development, testing and implementation of high quality solutions for the Enterprise Data Lake on AWS.
The Big Data Architect is an important role that strives to reconcile the corporate data architecture with the business requirements as well as the overall IT Architecture on our new AWS Data Lake.
What will you do?
Provide leadership and guidance in the research, experimentation, business analysis, and use of systems technology including architecture, integration capabilities, and database management systems.
Present ideas, expectations, and information in a concise and well-organized way using excellent judgement and technical insight
Provide technical and data leadership to the application development group, IT, and the enterprise.
Develop and maintain Data lake Reference Architecture and Data Lake best practices on AWS.
Provide input and consulting support including estimation on projects and road maps for compatibility with the enterprise vision of Data Lake and cloud first strategy.
Be conversant with and cognizant of the future direction of cloud strategy, impact to the enterprise and how future and current systems can be exploited for the benefit of the enterprise.
Create and maintain data architecture, data management standards and conventions, data naming standards, and metadata standards.
Collaborate with domain and enterprise architects for delivery in compliance to strategic enterprise direction.
Contribute to analysis, solution design, development and implementation of operational and data warehouse projects.
Perform high level and detailed design activities and create specifications for operational and data warehouse projects.
Validate and comply with the defined data architecture.
Recognize and identify potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion.
Work closely with key client and IT stakeholders in understanding business needs and recommend solutions.
Understand business requirements and translate them to the enterprise data and process models.
Stay current on assessments of technology for the business.
Effectively communicate complex technical concepts to non-technical business and executive leaders
What you need to succeed :
Solution and delivery oriented with ability to work on multiple projects simultaneously.
Previous experience in overseeing the transformation of multiple industry domains such as data, digital, insurance, wealth management or finance.
Demonstrated ability to lead large programs of work with multiple functional and technical capabilities.
Experience working in Lean / Agile / Scrum methodologies for enterprise IT delivery.
Mixture of strong business acumen, understanding of data and information and project delivery skills.
Strong communications and presentation skills with a proactive, energetic approach.
Project Management and coordination skills.
Resourceful, organized and independent self-starter with an enquiring mind.
Conceptual thinker with ability to understand business objectives and translate into business solutions.
Recognition and promotion of the value of Data Architecture Design Patterns.
Ability to interact with different levels of technical and management personnel.
Working experience in large organization.
Preferred Skills :
1+ years of experience on AWS Big Data Technology.
3+ years of hands on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG)
5 + years of experience of architecture support of Data Warehouse, Data Marts and BI
At least 10 years of engineering and / or software development experience and demonstrable architecture experience in a large organization
Demonstrated proficiency with Spark, Scala, Python, PySpark, MapReduce, HDFS, Tez
Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.
Experience with integration of data from multiple data sources
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge of various ETL techniques and frameworks, such as Flume and Sqoop
Experience with various messaging systems, such as Kafka or RabbitMQ
Experience with Big Data ML toolkits, such as Mahout and SparkML
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with Hortonworks or Cloudera distribution
Proficient understanding of distributed computing principles
Experience with server less architecture and design approach
Cost Optimization on AWS
Experience with Hybrid Data Lake implementation
What’s in it for you :
Competitive salary and bonus structure influenced by market range data
Pension, stock and savings programs to help build and enhance your future financial security
A common sense dress code, where you dictate how you dress based on your day
An environment of continuous learning and improvement
The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors.
In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance.
Certain sales focused roles have sales incentive plans based on individual or group sales results.
Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues.
We welcome applications from qualified individuals from all backgrounds.
Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-
mail a request to thebrightside sunlife.com.
We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.
Salary Range :
73,100 / 73 100 - 122,900 / 122 900
Job Category : IT - Technology Services
Posting End Date : 25 / 07 / 2019
25 / 07 / 2019