Data Engineering Manager, APAC

About Vanguard 

More than 45 years ago, John C. Bogle had a vision to start an investment company that did things differently. A company with no external shareholders. Where all the profits were invested back into the business and used to lower costs. Evidently, it was as bold as it was brilliant. To this day, Vanguard Group still has no external shareholders. That means no share prices to protect, and no profits to generate for outside owners. 

Today, Vanguard is one of the world’s largest investment management companies, serving more than 50 million investors worldwide. For more than 25 years Vanguard Australia has been supporting individual investors, financial advisers, and superannuation members to achieve their long-term financial goals. 

Our Team & Opportunity  

Part of our growing Technology division, the CDAO team responsible for transforming how our crew use data so that clients and investors can thrive. Our mission is to accelerate Vanguard’s growth, clients, crew, and client experience by using data to inform and elevate every decision. We power information through data - improving outcomes, guiding strategies, and changing behaviour. 

The Data Engineering team establishes technical excellence by knowing what their critical data is, where it is, and how it's being used. This supports Vanguard’s reporting suite, global compliance, data quality efforts, and data security efforts. 

With at least 5 years of experience under your belt as a Data/DataOps Engineer and at least 5 years of management experience you will lead a team of Data, DataOps & MLOps Engineers building storage, transformation and analytical solutions with the Data & Analytics team. You will be working with an experienced team to support data engineers, data scientists, data analysts, business users, machine learning & AI engineers in implementing data pipelines and high-quality productionisation of ETL/ELT pipelines and complex models. You will be key part of a newly organised Australian Data & Analytics leadership team and will play a significant role in delivering and implementing solutions across Vanguard. You will also have the opportunity to work within a global data and analytics organisation bringing the best back to Australia and contributing to global best practice.  

You will be leading an already diverse team of talented and vibrant individuals. 

What you will do 

• Hire, manage and mentor a growing team of Data Engineers & DataOps Engineers in developing data analytics and reporting solutions that drive decision making and improve performance across all departments of the business. 

• Set performance standards, reviews performance, and makes informed compensation decisions in accordance with Human Resource policies and procedures. 

• Oversee the design, implementation, optimisation and management of the data infrastructure framework on AWS with an emphasis on security and reliability in a cloud-first environment.  

• Deeply understand modern data engineering modeling techniques; proven past experiencing in designing, modeling and implementing models in a cloud-first environment; manage and optimize the automation and quality assurance of ETL pipelines supporting batch and live/real-time data streaming. 

• Enable best practices in managing data infrastructure in a CI/CD (Continuous Integration/Continuous Development) pipeline with appropriate controls and documentation. 

• Comply with application management & user access for the Data & Analytics framework in accordance with Vanguard’s Data Governance and IT policies. 

• Consults with senior leaders on the strategies and operating plans; Directs the planning, prioritisation sessions and take an active role in forming Vanguard’s Data Strategy. 

• Liaise with solutions architects, data analysts, DataOps, business analysts, data scientists and other developers in APAC and globally (Europe, US) to ensure all deliveries are supported by the correct architectural implementation and are aligned with our global data engineering strategy. 

• Work closely with Data Analysts, DataOps, and Data Scientists to support the development of a modern Data & Analytics framework – Data Lake, Lakehouse, Enterprise Data Warehouse solutions and more. 

• Comply and contribute to the procedures and processes used within the Data & Analytics team, ensuring all work undertaken is executed consistently and professionally under SCRUM-Agile methodology; Create SOPs, release documentation and manage the deployment-rollout of the Data Engineering team’s deliverables. 

What we are looking for 

• Managed a team of five or more people for three or more years in a medium (500+) to large (5000+) organization. 

• Excellent communication and storytelling skills; Ability to articulate complex problems in a simple manner. 

• First-hand experience with Python/Pyspark in building end-to-end data pipelines. 

• Understanding DBA concepts; Prior experience working in/with DevOps or Data Engineers teams; Comfortable with DevOps/SRE thinking. 

• Knowledge and experience in designing, implementing, deploying and configuring AWS resources. 

• Experience with SCRUM-Agile mindset and implementation tools such as Jira, Azure DevOps. 

• DataLake, Lakehouse & EDW methodologies; Data analysis, data modelling, data integration, data warehousing and database design, ideally on an AWS Stack. 

• Understanding of GIT, post/pre-scripting and CI/CD workflow under TDD using Jira/Azure DevOps. 

• Support multiple environments (Dev, UAT, Prod) and a strong understanding of SDLC concepts. 

Specialisations that will make an impact 

• Knowledge of traditional ETL/ELT process and tools (i.e. Informatica, Talend, SSIS, Alteryx). 

• Experience in multiple database technologies such as Distributed Processing (such as Spark, Hadoop, EMR), Traditional RDBMS (such as MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (such as AWS Redshift, Teradata, Snowflake, Greenplum, Synapse), and NoSQL (such as DynamoDB). 

• Strong understanding of CDC/CT/Deltas mechanisms. 

• Data visualization experience in Tableau or PowerBI. 

• Understanding of the Financial industry, preferably with applicable experience. 

Inclusion Statement 

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” 

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values. 

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard’s core purpose. 

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. 

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.