Job Description

Versent is a rapidly growing services, product and platform company that works exclusively on AWS. We have offices in Sydney, Melbourne, Brisbane, Perth, Denver and Singapore and have grown to over 350 people in just five years! We are the Australian AWS Consulting partner for the Year for the 3rd time and recently became a Snowflake and Talend Partner.

We believe in bringing craftsmanship back to technology, because as artisans, we passionately care about the quality outcomes we leave behind.

We have some of the best tech talent in Australia and due to client and internal demand, we're looking to expand our data team with at least 2 experienced Data Architects (as well as 4-6 Snr Data Engineers and 2 Data Analysts - if you have referrals).

Our Data Architects know their craft, and know it well. In addition we need you to have the right soft skills to listen to and understand other ideas, plus know and see the patterns from your experience across a variation of complex implementations.

Our Data Architect build upon the skill set of Data Engineers have been around the block a few times and have some battle scars from building and designing data pipelines in the cloud in an automated fashion. They have worked in larger teams and understand the Corporate Wheel of Death (Risk, Security, Governance, Finance, etc…) and have worked through these issues before.

The above and beyond skillset of the Engineers is the ability to bring the customer on a journey, helping them understand they aren’t the first to build a scalable, reliable and auditable big data pipeline, to sit with them and help get things over the line and to help win “hearts and minds” across customers internally where Cloud or Big Data analytics are still a foreign term or used in name but not in practice.


Our Data Architects exhibit the following behaviours;

  • Ability to lead change with customers
  • Focus on delivery and outcomes
  • Delivery sprint tasks within the sprint
  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
  • Continually strive toward optimal extraction, transformation, loading and management of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
  • Has the experience to authentically tell the customer when something is an anti-pattern or will fail
  • Can design Data Patterns for re-use and re-implementation (factory based approach)
  • Workshops and agree technical approaches with team members and customers
  • Can work in an enterprise-type environment and demonstrate the expected controls and processes adherence.
  • Understand traditional and emerging data pipeline delivery as well as CI and CD processes
  • Lead and mentor Data engineers

People wanting to become Data Architect at Versent have the following skills;

  • From a development or operations background (or an existing DataOps Team)
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Have experience with the AWS ecosystem (particularity Kinesis, Glue, Redshift, EMR, RDS, Aurora, DMS, etc…)
  • Have exposure to the broader Hadoop and broader data warehouse ecosystems (Cloudera, Hortonworks, Exadata, Greenplum, Terradata, SAP Hana etc)
  • Have some experience with industry leading ETL tools, Informatica, Talend
  • Familiar with data modelling concepts
  • Familiar with end user analytic tools such as SAS, Tableau, etc
  • Can demonstrate what discipline looks like in the AWS ecosystem including experience with the AWS Well-Architected Framework.

Example Tasks for a Data Architect:

  • Participating in agile rituals (stand ups, planning sessions, retros, etc...)
  • Analyse existing Data Architectures
  • Recommend target state data architecture
  • Work with other vendors i.e. AWS to fulfil business requirements
  • Examine and capture as-is data workflows



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