Guided by Architecture you will be responsible to lead and for providing technical leadership to a team establishing new technology components and reusable solution patterns that can be leveraged by business facing development teams in their day-to-day solutions.
You will constantly be developing and setting new principles, standards, processes, procedures, and guidelines for the wider BI community and will be partnering with business facing teams to enable the flow of business value in the most efficient and fit for purpose manner.
You should be able to communicate technical information to technical teams, as well as be competent in communicating challenges and solutions to project and operational leadership. An understanding of data management solutions and a keen sense of the strategic value of information to an organization will be of importance. You will also be responsible for developing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems; translating business needs into long-term architecture solutions.
You will be responsible for the leadership and management of a team of technical resources that will be qualifying, designing, and delivering solutions to the business workstreams and/or platform teams. As part of this role, you will be responsible to set their performance targets and measure their performance against these targets. The ability to facilitate complex technical discussions and trade-off decisions as well as an ability to work with a diverse team will be essential.
- Provide technical leadership to a team of Full Stack BI Developers and Analyst in evolving the capabilities of the central data platforms
- Ability to create design standards, patterns, and principles
- Ability to define a structured approach to problem solving and delivery against it, shaping, structuring, and driving the delivery of these solutions leveraging a Hybrid Agile method
- Work estimation, planning and management for a team of data engineering specialists
- Team delivery management and oversight
- Provision of subject matter expertise on a variety of data engineering topics
- Creation of role specific design standards, patterns, and principles
- Data management, development, and modelling
- Engage with a wide range of technical stakeholders including data scientists, business analysts, data engineers, database administrators and solutions architects
Qualification and experience
- Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field / National Diploma in an Information Technology related discipline preferred
- 8+ years related design and delivery experience
- Application and data engineering background with a solid background in SQL is required
- Data architecture design and delivery experience preferred
Experience in three (3) or more of the following areas are required:
- Database technologies (e.g., SAP Hana, Teradata or similar) and database development (Views, Functions and Stored Procedure development)
- Hadoop components including HDFS, Hive, Spark, Oozie and Impala
- Object-oriented/object functional scripting languages: Python, Java, Scala or related.
- ETL tools (e.g., SAP Data Services)
- Event/Streaming based data pipelines (e.g., Kafka or Nifi)
- Data warehousing (Kimball and Data Vault patterns are preferred) and dimensional data modelling (OLAP and MDX experience)
- Hybrid Agile
- Data management