Data Lead in Sydney

Data Lead in Sydney

Sydney Full-Time 121500 - 148500 $ / year (est.) On-site
C

At a Glance

  • Tasks: Lead data strategy for Workday implementation and ensure data accuracy and security.
  • Company: Join a dynamic team in a leading tech firm focused on innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Exciting role with potential for career advancement in a collaborative environment.
  • Why this job: Shape the future of data management while working with cutting-edge technology.
  • Qualifications: 4+ years in data architecture and integration; strong analytical and communication skills.

The predicted salary is between 121500 - 148500 $ per year.

Data Lead - Workday Transformation

Location

Sydney or Melbourne
We're seeking a Data Lead to define and deliver the data strategy for a Workday implementation.

This role will lead the technical data stream, covering architecture, modelling, integration, migration and governance across Workday and connected enterprise systems.

You'll help ensure data is accurate, secure and well-governed, while supporting reporting, analytics and responsible AI use.

Working with business, technology, architecture, security, risk and vendor stakeholders, you'll shape practical data solutions that align with business needs and enterprise standards.

Key responsibilities

  • Define the data architecture and strategy for Workday and its integration with enterprise systems.
  • Develop logical and physical data models to support Workday modules, reporting and analytics.
  • Lead legacy data migration planning, including mapping, transformation, reconciliation and validation.
  • Guide the development of ETL processes required for data migration.
  • Establish data standards, validation rules, stewardship processes, lineage and access controls.
  • Work with integration teams to design secure, efficient data flows between Workday and external platforms.
  • Ensure data architecture supports Workday Prism and external business intelligence tools.
  • Identify and shape data opportunities for analytics, automation and responsible AI.
  • Partner with risk, security, governance and business stakeholders to ensure data use is appropriately controlled.
  • Support risk and compliance activities, including maintaining controls and meeting relevant obligations.

About you

  • You have at least four years' experience in a similar role.
  • You bring strong technical knowledge of data architecture, modelling, migration and systems integration.
  • You can translate business needs into clear data and technical requirements.
  • You have strong analytical, problem-solving, communication and documentation skills.
  • You understand data governance, quality, metadata, lineage, stewardship and access controls.
  • You can work effectively with business stakeholders, technical teams and external partners.
  • Experience with Workday would be highly beneficial.
  • Knowledge of superannuation, wealth management or financial services would be valuable.
  • A tertiary qualification in a software engineering discipline is listed as a requirement.

This is an individual contributor role with no direct reports.

#J-18808-Ljbffr

Data Lead in Sydney employer: Correlate Resources Pty

Join a forward-thinking company that champions innovation and collaboration, offering a unique opportunity to work on a large-scale Edge infrastructure transformation. With a strong focus on work-life balance, you'll be part of a small, dedicated team where your contributions directly influence architecture across a highly distributed environment. The company prioritises employee growth through hands-on experience with cutting-edge technologies like Linux, Kubernetes, and OpenShift, ensuring you have the tools and support needed to thrive in your career.

C

Contact Details:

Correlate Resources Pty Recruitment Team

We think you need these skills to ace Data Lead in Sydney

Data Architecture
Data Modelling
Data Migration
Systems Integration
ETL Processes
Data Governance
Data Quality