Data Foundations Technical Lead

Company Description

Let’s create a more sociable future together

At Endeavour, we’re totally into what we do. With a portfolio that includes Dan Murphy’s, BWS, ALH Hotels, Pinnacle Drinks and more, we love to bring people together. Together we share our passion for our products and industry; it’s what inspires us to dream big, and continue to create new experiences for our customers and teams across Australia. If you thrive on positive energy, we want to meet you!

Job Description

• Bring your passion and feel the energy
• Hybrid ways of working 
• Fixed Term contract role - 12 months with possible extension

The Data Foundations Technology Lead is a key member of the Data Platform team within the Data and AI Centre of Excellence (COE). The role has been created to act as an extension of the Platform COE team, with a focus on delivery of the Platform foundations being delivered through the Data Program. 

The Technology Lead will work closely with an SI partner and our BAU Platform team to ensure that the technical design and build of the Data Program is aligned with our Enterprise technology and BAU data platform. This role is a key role connecting the data program with our BAU data platform team, ensuring the smooth delivery of the program into our BAU platform team.

The Data Program’s objective is to uplift our data platform and transition our data warehouse and data products from Woolworths to Endeavour. Our Data Platform consists of Data Warehousing, Machine Learning, Visualisation and Data Management tools and technologies. 

This is a hands-on role, designing and working with an SI and our Enterprise technology team to build platform capabilities and features in line with the roadmap being driven by the transformation program, in line with enterprise technology and security standards. In addition to functional outcomes, this role is responsible for ensuring that the delivered platform is aligned with performance and cost KPIs. 

As part of this role, the Technology Lead will liaise with architects, infrastructure engineers, integration engineers and cyber analysts as well as other programs and/or cross functional squads, acting as a platform SME, providing solutions guidance on how the relevant platform components/tools can be used to meet business outcomes. 

The Technical Lead will work in partnership with other engineers and/or vendors but not have direct reports.

Sound good? Read on.

Here is a taster of what you can expect in this role:

• Oversee the design and development of scalable, robust, secure and performant technology solutions in accordance with business requirements and the platform transformation roadmap, enterprise standards and technology strategy for data applications and/or products

• Ensure delivery complies with enterprise devops practices

• Document relevant artefacts such as architecture, application design and operations handover documentation 

• Effectively communicate ideas, designs and challenges to both technical and non-technical stakeholders 

• Participate in agile ceremonies, where appropriate

• Platform thought leadership

• Platform handover to the BAU Platform team

• Operations handover for platform service management

Qualifications

Now let’s talk about you: 

• A solid software development background with demonstrable technical leadership

• Track record of developing simple solutions to  complex problems using modern cloud technology solutions

• Solid knowledge and experience of development best practices

• Understanding of a broad range of solution architecture principles, designs and patterns

• Solid understanding of Agile principles and DevOps practices

• Experience with working in complex product ecosystems across Azure and/or GCP

• Experience in delivering scalable solutions

• Extensive experience with Google Cloud Platform (GCP), including services like BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Functions.

• Knowledge of infrastructure and networking concepts and infrastructure as code

• Knowledge of application operations processes

• Knowledge of streaming systems and their design patterns

• Knowledge or experience managing data platforms, visualisation tools, data management tools and/or ML platforms

• Solid understanding of unit / integration / API tests, test automation and TDD

• Good knowledge of SQL 

• Understanding of non-relational datastores

• Experience setting up build pipelines

• Experience in setting up Infrastru