Role: Data Platform Engineering Manager
Salary: $200K - $220K + Super
Location: Sydney CBD/WFH Flex

A major enterprise organisation is looking for an experienced Data Platform Engineering Manager to lead the development of a modern, cloud-based data platform powering analytics, automation and AI initiatives across the business.

This role will lead a high-performing engineering team responsible for delivering scalable data pipelines, reusable data products, and platform capabilities that enable real-time insights and data-driven decision making.

You will play a key role in shaping platform architecture, embedding engineering best practices, and working closely with architects, data teams, and business stakeholders to deliver high-quality data solutions.

Key Responsibilities

• Lead a multidisciplinary team of Data Engineers, Solution Designers, DevOps Engineers and Data Test Engineers

• Design and deliver scalable data pipelines, models and reusable data products

• Drive development of a modern cloud-based data platform including feature stores and API-driven data services

• Translate business and analytical requirements into well-structured, scalable data solutions

• Oversee delivery of data models, semantic layers and data marts supporting analytics and reporting

• Embed strong engineering practices including CI/CD, test-driven development, and deployment automation

• Ensure development standards, governance and best practices are consistently applied

• Collaborate with cross-functional teams across data, insights and platform operations

Key Skills and Experience

• 7+ years experience in Data Engineering or Data Platform development

• Previous experience leading or mentoring engineering teams

• Strong hands-on experience with Snowflake and AWS data services (e.g. Glue, S3, Lambda)

• Deep understanding of data pipeline architecture, ELT/ETL patterns and data modelling

• Experience building scalable cloud-native data platforms

• Knowledge of CI/CD pipelines, testing frameworks and DevOps practices

• Strong stakeholder engagement and communication skills

• Experience with real-time or event-driven data pipelines

• Exposure to AI/ML or advanced analytics platforms

• Knowledge of data governance, metadata and lineage frameworks

• AWS or Snowflake certifications

Why Apply

• Lead the development of a modern enterprise data platform

• Work on large-scale data initiatives including AI readiness

• Manage a high-performing engineering team

• Long-term program of work within a major organisation

Please APPLY today, or contact Laurie at Talenza formore information.