Senior Solutions Designer
Posted
Summary
Six-month (extendable) contract for a Senior Data Solution Designer serving internal stakeholders (Finance, Sales Ops, Marketing, HR) at a technology company in Sydney/Melbourne/Brisbane, paying $800-1000/day incl. super. Day to day: translating business needs into data models and QA processes using AWS, Python, SQL, ELT tools and Kimball/3NF/Data Vault modelling.
Senior Data Solution Designer ( AWS / Python / Kimball )
Sydney / Melbourne / Brisbane
Initial 6 month contract (scope to extend)
$800-1000 a day including super DOE
A technology company is seeking a Senior Data Solution Designer to design and deliver robust, user-friendly data solutions for internal business stakeholders across the region. Working with cloud technology and data integration tools, the successful candidate will translate business requirements into effective data models, improve data quality and investigate data issues.
The Role
The role works closely with stakeholders across functions such as Finance, Sales Operations, Commercial Excellence, Marketing and HR to understand their data needs and design practical, scalable data solutions. The successful candidate will join a collaborative, agile team of experienced data engineering and business intelligence specialists supporting enterprise reporting and data platforms.
Key Responsibilities
Essential Skills and Experience
Desirable Experience
The Team
The successful candidate will join a growing team of senior data specialists across data engineering and business intelligence. The team works collaboratively and in an agile environment to deliver high-quality data solutions, support internal stakeholders and continually improve its data platform capabilities.
Sydney / Melbourne / Brisbane
Initial 6 month contract (scope to extend)
$800-1000 a day including super DOE
A technology company is seeking a Senior Data Solution Designer to design and deliver robust, user-friendly data solutions for internal business stakeholders across the region. Working with cloud technology and data integration tools, the successful candidate will translate business requirements into effective data models, improve data quality and investigate data issues.
The Role
The role works closely with stakeholders across functions such as Finance, Sales Operations, Commercial Excellence, Marketing and HR to understand their data needs and design practical, scalable data solutions. The successful candidate will join a collaborative, agile team of experienced data engineering and business intelligence specialists supporting enterprise reporting and data platforms.
Key Responsibilities
- Partner with stakeholders to respond to data queries, explain data measures and functionality, provide requested datasets, and investigate the root causes of data anomalies.
- Develop and implement data quality assurance processes.
- Translate business and data requirements into data models and mapping functions.
- Facilitate data design workshops and playback sessions.
- Support reliable, user-friendly corporate data solutions using AWS cloud technology and data integration/ELT tools.
Essential Skills and Experience
- Strong technical capability across data analysis tools such as Jupyter, DataGrip and Microsoft Excel.
- Experience with data modelling approaches, including 3NF, Kimball and Data Vault.
- Strong programming skills in Python and SQL.
- Solid understanding of data warehousing and data lake concepts.
- Experience with data analysis methodologies, statistical methods and data transformation functions.
- Strong analytical and problem-solving skills.
- Knowledge of data quality practices, including functional and regression testing, and pipeline alerting and monitoring.
- Experience investigating data anomalies and identifying root causes.
- Understanding of data management and data governance best practices.
- Ability to work independently, manage competing priorities and deliver across multiple projects.
Desirable Experience
- Strong communication and stakeholder engagement skills.
- Business data analysis experience, ideally involving CRM or ERP data models, longitudinal reporting or multivariate analysis.
- Experience working with AWS cloud services such as Amazon Redshift, Athena and Glue.
The Team
The successful candidate will join a growing team of senior data specialists across data engineering and business intelligence. The team works collaboratively and in an agile environment to deliver high-quality data solutions, support internal stakeholders and continually improve its data platform capabilities.