AddressLooking for your next role in the wonderful world of Data? Do you have a passion for big data and enjoy solving complex and challenging business problems to make faster and better business decisions?
At Exposé, we take pride in delivering innovative, industry-changing business solutions to some of Australia's most complex business challenges. Exposé is one of Australia's leading Data and Analytics Consultancies looking to attract new Data specialists to join our teams across Australia.
As part of our team, you will be exposed and supported on pieces of work that you can put your professional mark on whilst taking on new and exciting challenges.
For us, culture comes first, and we believe in supporting our employees in both the professional and personal world. If you like the sound of this role yet feel like you don't have all the experience, then please don't let that stop you from applying.
Requirements for the role:
- Strong experience in architecting Data Analytics solutions for cloud-based as well as on-premises Data Analytics technologies and domains
- Strong experience in developing Data Analytics solutions for cloud-based, on-premises and hybrid domains
- Understand the practices and realities of security of the Data Analytics ecosystem and be able to design and implement security elements, including IAM, and those that pertain to the perimeter, and the nodes
- Strong Azure experience is essential
- In addition to, or as an alternative, AWS or Google Cloud Platform experience is advantageous
- Experience in Databricks and/or Snowflake environments is advantageous.
- Understand past, prevailing, and modern Data Analytics methodologies and practices and lead customers toward the modern methodologies and practices
- Hands-on development, oversight and Technical Leadership experience across major Data Analytics projects and programs are essential
- Strong client-facing and thought leadership experience is essential
- Advise, review, challenge and collaborate with groups on incumbent and new processes, approaches, and architectures
- Ability to continuously innovate through pragmatic and targeted R&D to stay abreast of new technologies, practices, and methodologies to respond to what the market and clients want and needs
- Pragmatic approach to the design and development of data governance and Data Analytics-related processes
- Guide, assist and mentor people (our technical teams and customers alike) on the architectures, solutions and processes of the solutions and ecosystem we architect, design and build
- Experience in producing engaging and pragmatic solution artefacts capturing patterns, data flows, processes, options and pros/cons, data models, and supporting documentation
Other Requirements:
- A relevant tertiary qualification is highly advantageous
- Microsoft/AWS/ GCP certifications are highly advantageous
- Ability to solve client business problems using data analytic solutions
- Excellent English in written and verbal communication skills are a must
- Prior experience in client-facing roles, exceptional interpersonal & relationship building skills
- Prior consulting experience is highly advantageous
- Current police clearance or be willing to obtain one at short notice
Why join Exposé?
We're a collaborative bunch that loves getting together and making a positive difference across our team and clients. We offer great employee benefits, including a technology allowance, professional development allowance and paid development days off. We are actively involved in the community, regularly hosting networking events and supporting our staff to speak at relevant forums and events.
If you want to work with some of the most talented Data & Analytics technologists in the market who are truly passionate about what they do, then this could be your opportunity to join a secure and growing consultancy.
Exposé will not accept unsolicited resumes from recruitment agencies.
Please apply via Seek, LinkedIn or reach out to Oliver Blaquiere at ***************@exposedata.com.au for more information and a confidential chat.
