In-Demand Stack developer data Jobs in Parramatta, Nsw

Manager, Modern Data Platform
CIMIC Group —Sydney NSW
- No degree
- AI
15h
Senior Professional Services Consultant
WalkMe —Sydney NSW
- Full-time
- Hybrid work
- Bachelor's degree
- Agile
- AI
- Health insurance
- Annual leave
Quick Apply
Verification & Validation Team Lead (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Laboratory
- Engineering
- Bachelor's degree
Quick Apply
Senior Quality Engineer - Metrics and Observability
Squiz —Sydney NSW
- Full-time
- Hybrid work
- AWS
- APIs
- AI
Quick Apply
14d
Senior Software Engineer, App Analysis & Modelling
MongoDB —Sydney NSW
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
Staff Infrastructure Engineer
Ripple —Sydney NSW
- Full-time
- Computer science
- Azure
- Computer Science
- Health insurance
- Parental leave
Quick Apply

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Manager, Modern Data Platform

CIMIC Group
Sydney NSW

Apply Now

Job Details

15 hours ago

Qualifications

Power BI
SAP
Data management
Unity
Diploma
AI
Information Technology

Full Job Description

CIMIC Group is seeking an experienced Modern Data Platform Manager to be responsible for developing and implementing the enterprise Modern Data Platform strategy following the data FAIR (Findable, Accessible, Interoperable, Reusable) principles.

As a key member of the ICT Solutions Delivery function, you will work closely with data teams to ensure data always has an owner, is classified, and remains secured throughout its lifecycle, and work to eliminate uncontrolled personal data stores.

About the Role

The Modern Data Platform Manager is responsible for the strategy development and implementation of making data available to engineers, data scientists, report developers, data owners and stewards, automation and AI engineers, and ultimately to end users — regardless of how they interact with it — following the data FAIR (Findable, Accessible, Interoperable, Reusable) principles. The role works with business stakeholders and data owners to develop and implement data governance, ensuring data always has an owner, is classified, and remains secured throughout its lifecycle. The role champions the vision of all enterprise data used for reporting and decision-making being sourced from a governed, discoverable data platform — eliminating uncontrolled personal data stores and ensuring a single, trusted version of the truth across the enterprise. A key enabler of this vision is the rationalisation and simplification of the enterprise technology stack: leveraging SAP Business Data Cloud (BDC) to extract and zero-copy SAP data directly into Databricks, establishing a unified, open platform where engineers, scientists, report developers, and business users can collaborate, find and explore data, govern and secure it, and build reusable semantic models — all in one place.

Your key responsibilities will include:

Developing and implementing the enterprise Modern Data Platform strategy aligned to FAIR data principles (Findable, Accessible, Interoperable, Reusable).
Defining and maintaining the architecture and roadmap for a governed, discoverable data platform — built on SAP Business Data Cloud (BDC) and Databricks — serving data engineers, scientists, report developers, data owners and stewards, automation and AI engineers, and end users.
Working with business stakeholders and data owners to design and implement data governance frameworks, ensuring all data assets have an assigned owner, are classified by sensitivity, and remain secured throughout their lifecycle.
Leading the rationalisation and simplification of the enterprise data technology stack, reducing reliance on multiple overlapping tools in favour of a unified platform (SAP BDC + Databricks) that simplifies architecture, reduces support overhead, and consolidates the skills and knowledge required across the team.
Driving the elimination of uncontrolled personal data stores and shadow IT reporting by migrating them to the governed data platform, establishing a single trusted source of truth across the enterprise.
Enabling all consumer groups — business users, data engineers, scientists, and report developers — to collaborate within the same open platform, with the ability to find and explore data, apply governance and security controls, and build and share reusable semantic models in one unified environment.
Owning the creation and maintenance of the CIMIC Modern Data Platform Roadmap and Architecture.

About CIMIC

CIMIC Group is an engineering led services, construction and natural resources leader with a history dating back to 1899. Powered by 30,000 people and pioneering technology and engineering, we deliver high value and sustainable solutions across the lifecycle of assets, infrastructure and resources projects in around 20 countries through CPB Contractors, Leighton Asia, UGL, Sedgman, Thiess, Pacific Partnerships and EIC Activities.

Our mission is to generate sustainable returns for our shareholders while delivering outstanding results for our clients and providing safe, rewarding and fulfilling careers for our people. We live by CIMIC’s core principles of integrity, accountability, innovation and delivery , all underpinned by safety.

About You – Qualifications & Experience

To be successful in this role, you will bring:

Degree or Diploma in IT or equivalent
A minimum of 7 years’ work experience in data management, data engineering, or data platform roles
At least 3 years’ experience in data governance, data cataloguing, metadata management, or data quality management
Expertise in data platform strategy, architecture, and technology rationalisation — including the ability to simplify and consolidate complex multi-tool landscapes into a unified, open platform
Data governance framework design and implementation, including data ownership, data classification, and data lifecycle management
Data cataloguing, metadata management, and data lineage (Microsoft Purview, SAP Datasphere, or equivalent)
Experience creating analytical reports and dashboards using SAP Analytics Cloud (SAC) and Power BI
SAP Business Data Cloud (BDC) — configuration, data extraction, and zero-copy replication to Databricks
Databricks — administration, data engineering, lakehouse architecture, Unity Catalog governance, and semantic model development
Demonstrated ability to lead and grow a multi-disciplinary data platform team
Ability to work to tight deadlines
Commitment to a high standard of work
Ability to analyse information and take informed decisions

Apply Now

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stack developer data jobs in parramatta, nsw

Manager, Modern Data Platform

Senior Professional Services Consultant

Verification & Validation Team Lead (AU)

Senior Quality Engineer - Metrics and Observability

Senior Software Engineer, App Analysis & Modelling

Staff Infrastructure Engineer

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