Data Solution Designer
23 hours ago
About the Role
The
Solution Designer
role sits at the intersection of
data engineering, analytics, platform architecture, and project delivery
, providing
thought leadership and innovation
for enterprise-grade data solutions. This role is accountable for the
end-to-end solution design
- from data extraction from source systems to ingestion, transformation, and creation of
reusable data assets
ready for analytics and business consumption.
You will work closely with architects, data engineers, and business stakeholders to design scalable, efficient, and future-ready data platforms and integration solutions.
Key Responsibilities
- Design, develop, test, and support
end-to-end data solutions
across multiple industry verticals. - Build and maintain
batch and near real-time data pipelines
using modern data engineering frameworks. - Demonstrate deep understanding of
data architectures, data platforms, big data, data lakes, data warehousing, ML/AI, analytics, cloud platforms, data governance, and information management
. - Lead
data ingestion and transformation
design, ensuring high quality, reusable, and performant solutions. - Develop and present
Proof of Concepts (PoCs)
and working prototypes for solution validation. - Collaborate with internal/external stakeholders through
workshops, consulting engagements, and delivery projects
. - Provide
technical leadership and mentorship
to junior engineers and consultants. - Work closely with client and internal architecture teams to
design and defend data solutions
in complex enterprise environments. - Ensure solution designs align with
enterprise data strategy, security, and compliance
requirements.
Experience and Skills Required
- Proven experience in
Big Data platform delivery
and
data project execution
within
cloud and on-premises data lake environments
. - 7+ years
in data projects involving design and engineering of complex data processes. - 3+ years
in large and complex
financial services or banking
environments. - 3+ years
of hands-on experience in
advanced data transformation
, data quality analysis, and remediation. - Strong experience designing
data pipelines, ingestion frameworks, and integration patterns
. - Proficient with
Unix/Linux
,
Hadoop
,
Azure
,
Apache Spark (PySpark)
, and
Python
. - Demonstrated ability to
present and defend architectural decisions
to senior stakeholders and large technical forums. - Excellent
verbal and written communication
skills for effective stakeholder engagement and documentation. - Strong
collaboration, problem-solving
, and
time management
skills in agile, fast-paced environments. - Demonstrated ability to
lead end-to-end solutions
, troubleshoot delivery issues, and guide technical teams.
To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Yash Kumar Jain on or email: and quote the above job reference number.
Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.
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