Data Manager

4 weeks ago

Melbourne, Australia REA Group Full time

Experience Hybrid working arrangements in a flexible environment.
- Permanent role based in either Melbourne, Sydney or Brisbane

We're REA
- REA Group

is not your average digital business. From humble beginnings in a garage in Melbourne’s east in 1995, we have grown into a leading global digital business, specialising in property.

With bold and ambitious goals, we are changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.

Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to be named in Australia’s “Top 5” Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.

Where the team fits in

The Data Manager role sits in the Data Services Tribe within Platform & Data group and are part of the broader Technology & Data Group. Our mission in Data Services is to
_Make it easy to leverage REA data_. We do this through three strategic pillars.

REA Data Platform

We provide REA with a suite of Data Platform products built on a combination of commercial off-the-shelf products and bespoke REA components, including;
- Google BigQuery data warehouse
- Apache Airflow job orchestration service
- Amundsen based data catalogue + metadata management
- Apache Kafka real-time stream processing (MSK)
- Tableau Analytics
- A suite of Observability, Quality, ML and products in the pipeline

Data Products & Engineering

We own and support a number of REA’s most important data assets; Listings and Behavioural Audience data.

Data Governance and Management.

This role will lead of the Data Management practice, and to keep pace with the scale of REAs growth, this function is growing.

What the role is all about

Data is at the heart of everything we do at REA. The Data Manager supports the business in making it easier for REA teams to build the rich data insights that underpin our data products, consumer and customer experiences, and internal analytics. They will build trust in our data by complying with regulatory requirements, reducing operational risk, establishing standards and monitoring adherence, and increasing confidence in data to drive business value and improved decision-making.

You will be responsible for:

- Leading the creation, implementation and oversight of data management objectives, standards, best practices in support of REAs goals.
- Establish frameworks, process and system controls to monitor and enforce data governance obligations across the group, with particular focus on privacy, security and risk outcomes.
- Shape, define and contribute to policies that govern and outline how data is owned, captured, processed, stored and shared inside and outside REA.
- Improve data discovery, observability, and quality across the group by creating and maintaining a metadata strategy covering business processing and technical metadata including integration with our data catalogue.
- Collaborate with Product & Technical leads across data services to ensure data management capabilities are enabled by best-in-class technology, tooling and automation.
- Line management of a team that includes Data Modelers, Data BAs, Engineers and Developers to enable interoperable, usable, high-quality data fit that’s for purpose.
- Using your stakeholder management and influencing skills to maintain a coordinated program of data publication across distributed REA teams.
- Champion the needs of data teams across the group including contributing to and leading forums and committees.
- Keeping up to date on and sharing insight on trends in the data engineering and analytics spaces.

Who we’re looking for
- 5-7 years in Data Management, Governance or a related role in the wider Data Industry
- Extensive experience and expertise across the data lifecycle - from capture to design, processing and storage, to consumption and analysis.
- Experience working with cloud data technologies such as BigQuery, MS SQL, Airflow, Kafka, AWS and Google suite, Tableau and other database, business intelligence or analytics vendor technologies
- Knowledge of data security and privacy requirements and practices.
- General knowledge of architecture, programming, system design, and database concepts.
- People management experience or an interest in growing it, and the ability to manage, coach and mentor others
- You have a passion for data and how it can be used to solve real problems, and are excited to champion its value to a business
- You are curious, someone who stays close to the industry, exploring best practice approaches and solutions.
- You have excellent communication skills, both written and verbal
- You enjoy collaborating and build productive relationships w

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