About the Role
We are seeking an experienced
Data Platform Engineer
to design, build, secure, and optimise large‐scale data environments across AWS. This role is ideal for someone who has worked in
large organisations
, managed
high‐volume datasets
, and brings deep expertise in
RDS, Redshift, Python, SQL
, and
AWS security best practices
. You will play a key role in ensuring our data platforms are scalable, resilient, and compliant with enterprise security standards.
Key Responsibilities
Data Platform Engineering
Architect, build, and optimise data solutions using
AWS RDS (Postgres/MySQL)
and
Amazon Redshift
.
Design scalable data models, schemas, and ingestion patterns for high‐volume structured datasets.
Develop robust ETL/ELT pipelines using
Python
and
SQL
.
Implement performance tuning, workload management, and query optimisation across Redshift and RDS.
Support data availability, reliability, and operational excellence across production environments.
AWS Security & Governance
Act as an
AWS security specialist
, ensuring compliance with enterprise security frameworks.
Implement and maintain
IAM
, encryption (KMS), network segmentation, VPC security, and audit logging.
Apply best practices for
data protection
,
access control
,
secrets management
, and
governance
.
Work closely with security teams to manage risk, conduct reviews, and maintain secure data operations.
Large‐Scale Data Operations
Manage and optimise large datasets,



high‐volume ingestion, and complex data transformations.
Support distributed data workflows, multi‐team access patterns, and enterprise‐wide data consumption.
Troubleshoot production issues, resolve performance bottlenecks, and ensure platform stability.
Collaboration & Delivery
Partner with data engineers, analysts, architects, and business teams across a large organisation.
Contribute to platform roadmaps, standards, and continuous improvement initiatives.
Maintain documentation, runbooks, and operational guidelines for data platform components.
Skills & Experience
Essential
Robust experience as a
Data Platform Engineer
or
Data Engineer
in large organisations.
Deep expertise with
AWS RDS
(Postgres/MySQL) and
Amazon Redshift
.
Advanced
Python
and
SQL
skills for data engineering and automation.
Proven experience handling
large datasets
, high‐volume pipelines, and enterprise data workloads.
Strong background in
AWS security
, including IAM, KMS, VPC, encryption, and compliance controls.
Experience with ETL/ELT frameworks, data modelling, and performance optimisation.
Desirable
Experience with AWS Glue, Lambda, Step Functions, or orchestration tools.
Familiarity with Terraform/CloudFormation for infrastructure automation.
Knowledge of data governance, metadata management, and lineage tools.
Exposure to event‐driven architectures (Kinesis, Kafka)
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📌 Data Platform Engineer (Melbourne)
🏢 CSK Nexus
📍 Melbourne