Data Architect

Location: Sydney
Reference: 2626492

What’s in it for you ?

As a Data Architect, you are a data technology evangelist in the company who advocates technology and our data platform. 

You shall oversee the governance, design, ongoing development and operations of an end-to-end Data & Analytics architecture that synergies all our data (structured and unstructured) to information that brings sense to our data consumers for their fact-based decision making and analysis. 

You are instrumental in working closely with stakeholders like Business users, IT Project Managers, Infrastructure team, to maximize the value of our data platform.

 
Responsibilities

  • Oversee the ongoing development and operations of an end-to-end Data architecture that enables fact-based decision making, ad-hoc analysis and insight generation.
  • Regular review of emerging technologies to assess their relevance and viability in solving on-going information management challenges eg. Big Data, cloud computing, enterprise business metadata management and Data SOA.
  • Participate in the development and maintenance of corporate data architecture, data management standards and conventions, data dictionaries and data element naming standards and conventions for multiple computing environments.
  • Establish standard information architecture best practices in the context of the enterprise’s overall architecture, and consistently apply such standards to operating units and functions across the company.
  • Collaborating with end users to identify needs and opportunities for improved data management and delivery.
  • Research and evaluate alternative solutions and recommend the most efficient and cost effective data related solutions for improved data integrity.
  • Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value.
  • Review and approve project designs including data models and ETL.
  • Prepares written reports of findings and recommendations.
  • Mentoring the Data Technology team and other IT teams on technical skills.
  
Qualifications

  • Degree in Computer Science or equivalent
  
Experiences 

  • 7+ years’ experience in proven implementation and delivery of Data solutions, including data management experience, like architecting data management solutions and designing/developing data governance policies/standards.
  • Extensive proven experience in Solution envisioning, building demonstration, estimates, proposal development, user presentations/workshop conduct.
  • Hands-on experience on Big Data, Data Lake, Data Warehouse, Data Mart eg. Hadoop Hortonworks, Hive, Pig, Spark, Scalar, Netezza etc.
  • Familiarity with software development lifecycles and agile methodology.
  • Familiarity with process modeling, semantic modeling and data modeling.
  • Expertise in SQL and databases.
  • Knowledge in insurance domain is an added advantage.

If this sounds like you please get in touch. 

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