Role - Data Architect/Lead (Senior Role)
Skills - Azure/AWS, Databricks, Pyspark, BI tools and Dashboard.
Location - NewCastle NSW
Duration - Permanent
As a
Data Architect
, candidate will be responsible for designing and implementing enterprise-level data architecture that supports advanced analytics, reporting, and operational needs. You will define standards for data modelling, storage, and integration across multiple Insurance related applications using
Azure/AWS
platforms, ensuring scalability, security, performance and implementing Business Intelligence solutions that enable data-driven decision-making across the organization.
Key Responsibilities:
Cloud Strategy & Integration:
Data Quality and Data Governance:
Must have Cross platform Data Migration experience
Should be able to Develop current and understand existing
end-to-end data architecture
for data lakes, warehouses, and real-time streaming systems.
Create
conceptual, logical, and physical data models
for structured and unstructured data.
Create Source to Target mapping for ELT/ETL solutions
Design hybrid and multi-cloud solutions leveraging
Azure, Databricks, Pyspark etc
Lead
cloud migration projects
and optimize cost and performance.
Perform Data profiling
Work closely with
business stakeholders
,




data engineers
, and
BI teams
to align architecture with business goals.
Evaluate emerging technologies (AWS, Snowflake, Delta Lake) and recommend adoption strategies.
Implement DQ practices and Data Governance rules
Experience in
metadata management
and
data lineage tracking
.
Design and implement
BI architecture, including data models & reporting frameworks
Collaborate with business teams to
gather requirements and translate them into technical solutions
Provide solutions to
BI tools and dashboards
for performance and usability
Mentor junior engineers and enforce best practices in data engineering and reporting.
Technical Skills:
Data Modelling:
Advanced knowledge of normalization, dimensional modeling, and NoSQL design.
Cloud Expertise:
Deep experience in
Azure
(ADF, databricks, Pyspark, Python) or
AWS
(Glue, Kafka, etc)
Programming:
Proficiency in
SQL
,
Python
,
Pyspark
, and
Big data processing.
Architecture Tools:
ERwin, PowerDesigner, or similar modeling tools.
Security & Governance:
Familiarity with Identity Access Management (
IAM
), encryption, and compliance frameworks.
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📌 Data Architect (New South Wales)
🏢 Coforge
📍 New South Wales