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About the Role

We are seeking an experienced Solution Designer / Lead Data Engineer to drive a high-priority enterprise transformation initiative: uplifting, modernizing, and scaling our enterprise Data Ingestion framework across cloud platforms. In this dual-capability role, you will combine high-level architectural design with deep data engineering expertise. This role requires a cloud-generic perspective—designing modular, cloud-agnostic data patterns that can ingest, process, and govern batch and streaming data from diverse sources across multi-cloud and hybrid environments.

Responsibilities

Architect and lead the end-to-end design of a modern, scalable, and automated enterprise Data Ingestion framework, transitioning legacy ingestion systems toward real-time, event-driven cloud workflows.
Author comprehensive Solution Design Documents (SDDs), architectural blueprints, data mapping specifications, and reusable ingestion patterns for both batch and streaming datasets.
Provide technical leadership and hands-on guidance to engineering squads building high-throughput data pipelines across major cloud provider environments (GCP, AWS, or Azure).
Design secure, standardized ingestion interfaces connecting on-premises databases, enterprise SaaS tools, APIs, and streaming brokers into modern cloud data lakes and enterprise warehouses.
Embed automated data quality checks, data lineage tracking, enterprise encryption, and governance controls (IAM, Data Catalog, DLP) directly into the ingestion lifecycle.
Optimize data pipeline latency, ensure high system availability, and govern multi-cloud compute/storage costs.

Requirements

Extensive experience designing and building scalable data platforms across major cloud platforms (GCP, AWS, or Azure) using modern cloud-native data architectures.
Proven track record as a Solution Designer, Data Architect, or Lead Data Engineer crafting high-level and detailed technical designs for large-scale enterprise data ecosystems.
Deep understanding of modern ingestion paradigms (batch, micro-batch, real-time event streaming, Change Data Capture [CDC], and API-driven ingestion).
Strong practical experience with distributed data tools and frameworks (e.g., Apache Spark, Airflow/Composer, Kafka, Pub/Sub, Kinesis, Snowflake, BigQuery, or Redshift).
Advanced proficiency in SQL, schema design, data partitioning, and data modeling strategies (e.g., Star/Snowflake schemas, Data Vault).
High proficiency in Python, Scala, or Java, alongside Infrastructure as Code (Terraform) and CI/CD automated deployment pipelines.
Exceptional communication skills with the ability to articulate complex data architecture decisions to tech leads, product owners, and executive stakeholders.
Professional Cloud Certifications (Google Cloud Professional Data Engineer, AWS Certified Data Engineer, or Microsoft Certified: Azure Data Engineer Associate).
Hands-on experience with dbt, Apache Iceberg/Delta Lake, or enterprise data catalog frameworks.
Knowledge of regulatory compliance frameworks regarding data privacy and cross-cloud data movement.
Valid work rights for Australia.
Willingness to undergo a comprehensive background checking process, including probity and police checks.

Skills

Data Ingestion
Cloud Platforms
GCP
AWS
Azure
Data Architecture
Data Engineering
Batch Processing
Streaming Data
Data Governance
Data Quality
Data Lineage
Encryption
IAM
Data Catalog
DLP
Performance Optimization
Cost Optimization
SQL
Schema Design
Data Modeling
Python
Scala
Java
Terraform
CI/CD
Apache Spark
Airflow
Composer
Kafka
Pub/Sub
Kinesis
Snowflake
BigQuery
Redshift
dbt
Apache Iceberg
Delta Lake

Location

Australia

Work Type

Full-time

Experience Level

Experienced

Benefits

Paid parental leave
Well-being initiatives
Discounted health insurance
Discounts on various products and services
Regular recognition and rewards for high performance
Career development through Capability Fingerprint
Industry and partner training programs
Special interest groups
AI-driven learning platform

About the Company

At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together.
We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow.

Equal Opportunity

NCS Australia is an equal-opportunity employer, and we take pride in our commitment to valuing and supporting our people and the communities we serve.
We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age.
Applications are encouraged from all sectors of the community and we strongly encourage applications from the Veterans, Aboriginal and/or Torres Strait Islander community.
At NCS Australia, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment.
We actively support and encourage people with disability to apply.