Data Integration Lead | Manager at pwc

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data integration, Data warehousing, Business intelligence, Databricks, ETL/ELT, Cloud data platforms, DevOps, CI/CD, Infrastructure-as-code, Terraform, API design, Data governance, Data quality, Stakeholder management, Strategic planning, Mentoring

Industry

Professional Services

Description

Line of Service Internal Firm Services Industry/Sector Technology Specialism Corporate and Business Strategy Management Level Manager Job Description & Summary Tech Hub enables our company’s businesses to achieve their technology-driven goals. The work undertaken in Tech Hub covers a range of areas from leading and supporting the company through to the build or adoption of new technology, to protecting against risk, and delivering valuable data insights that transform our technology capabilities. The Data Warehousing / Business Intelligence (DW/BI) team is responsible for designing and maintaining data warehouses, integrating and cleansing data from various sources, and optimising data storage and retrieval. The team creates reports, dashboards, and predictive models to provide actionable insights, support decision-making, and drive business performance. We collaborate with cross-functional departments, ensuring data security and compliance, and provide user training and support. As a Data Integration Manager, you will oversee data warehouse and data analytics team, ensuring the delivery of high-quality data acquisition, data storage, data transformation, data management data insights and reports. Working in a DevOps environment, you will have end-to-end accountability for designing, developing, deploying, and supporting your data assets. You will manage resources, set priorities, and drive the strategic direction of data initiatives within the organisation. You will mentor junior data engineers and collaborate with cross-functional teams to ensure data integrity and optimal use of data resources. Why PwC? At PwC Australia, your skills meet purpose. We tackle big challenges across industries like finance, technology, energy, and health—giving you the chance to make a real impact. Here, your growth is our priority. You’ll work with leading teams, explore new technologies, and unlock your full potential. Join a global community of more than 370,000 people who value bold ideas, collaboration, and lasting change. Together, we’re building trust and shaping the future. What you’ll do: Lead and execute advanced data integration projects. Lead and develop data services end-to-end solutions. Ensure data quality and integrity across all data sources. Collaborate with business units and other platforms within the IT department to align data initiatives with business goals. Support data warehousing and ETL processes. Facilitate and implement strategic insights and recommendations based on data services requirements. Ensure the timely delivery of accurate and actionable data services solutions. Mentor and guide junior engineers in their professional development. What we’re looking for: Technology Specific Experience Proven experience (8+ years) in integration architecture/design across cloud data platforms, with hands-on delivery of batch, streaming, and event-driven integrations into a lakehouse/warehouse. Databricks ingestion patterns and tooling (Lakeflow Connect, Delta Lake, Auto Loader, Delta Live Tables, Structured Streaming) and schema evolution/compatibility. Orchestration and ELT/ETL tooling and practices (e.g., Airflow, Azure Data Factory, dbt), Git-based CI/CD, and infrastructure-as-code (e.g., Terraform). API and event contract design (OpenAPI/Swagger, AsyncAPI, Avro/Protobuf/JSON Schema), schema registries, versioning strategy Design and create reusable data engineering frameworks to populate bronze, silver and gold data layers. Industry Experience Design and implement ingestion patterns for source systems from enterprise business functions like HR, Finance, Marketing, Sales , Risk etc. General data security/compliance and governance best practices; privacy regulations awareness (e.g., Australian Privacy Principles, GDPR) – not explicitly mandated Internal enterprise stakeholders; multi-source data environments; production-grade data services. Senior-level DW/BI and data engineering experience (years not specified; senior associate/lead expectations) Other Specific Role Requirements Strong analytical and structured problem-solving skills, with ability to translate between business and technical teams. Skilled in assessing and prioritizing AI opportunities based on value and feasibility, balancing ambition, risk, and delivery constraints. Experienced in process mapping, requirements definition, stakeholder engagement, and confident collaborating with senior stakeholders. Clear communication skills for executive and delivery audiences, supported by formal education in business or related fields and foundational AI training. What you’ll gain: The opportunity to work with leading organisations and cutting-edge technology that challenge and expand your expertise. Flexibility means trusting you to choose when, where, and how you work—balancing what’s best for you, your team, and your clients to grow and thrive together. Clear paths for career progression supported by continuous learning and leadership development. Generous leave entitlements including four weeks’ annual leave and float public holidays to support your work-life balance. We know that perks are as important as your financial rewards. Explore all the benefits that PwC has to offer here. Ready to grow here and go further? Join PwC Australia as a Data Integration Lead and make an impact that goes beyond the expected. Apply now and take your next step with a team shaping the future. We’re committed to treating all our job applicants fairly and with respect, irrespective of their actual or assumed background, disability, neurodivergence, or any other protected characteristic. We want you to have every opportunity to thrive in our selection process. In the application form, you can let us know what adjustments you require during our recruitment process and/or any workplace accommodations you anticipate needing to help you perform your role. No Agencies Please: We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications direct from individuals. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Automation, Coaching and Feedback, Communication, Creative Solutions Development, Creativity, Data Governance Training, Data Infrastructure, Data Integrity, Data Management Plan (DMP), Data Monetization, Data Quality Improvement Plans (DQIP), Data Stewardship Frameworks, Data Strategy, Data Warehouse Governance, Embracing Change, Emotional Regulation, Empathy, Inclusion, Information Security, Intellectual Curiosity, Knowledge Management {+ 15 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date May 31, 2026 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

The Data Integration Manager will oversee data warehouse and analytics teams to ensure high-quality data acquisition, transformation, and management. They are responsible for setting strategic direction, mentoring junior engineers, and collaborating with cross-functional teams to deliver actionable data insights.