With a highly reputable name in the Australian market, this leading real estate business is expanding its Enterprise Platforms and Integration team to welcome a dynamic Senior Data Specialist. As a key player in the industry, they are committed to enhancing their data capabilities and ensuring that their systems are at the forefront of innovation.
Role Overview:
In this unique role, you will be an internal consultant, positioned at the intersection of the engineering team, data team, and business stakeholders. Collaborating closely with the Platforms and Data Engineering teams, you will play a pivotal advisory role in defining data models, implementing processes, and spearheading data migration initiatives. Your focus will be on making data more accessible, facilitating seamless movement, and developing a comprehensive strategy to ensure a single source of truth.
Key Responsibilities:
- Collaborate with the Data Engineering team to define data models and processes needed for efficient data management.
- Lead data migration efforts to consolidate and streamline information across systems.
- Establish and maintain a center of excellence for data management and governance.
- Ensure a single source of truth by defining metrics and minimising duplication within systems.
- Work on migrating multiple products to a unified source of data.
- Actively contribute to the development of a comprehensive data strategy for the organization.
Technical skills:
- Computer science / engineering degree
- Proficient in data transformations using SQL or DBT
- Experience with Cloud Data Platforms (such as Snowflake, Bigquery, Databricks)
- Working knowledge of AWS infrastructure such as S3, Sagemaker, EMR, Kinesis, RDS (Aurora, Postgres), Redis
- Strong understanding of SaaS products and integrations.
- Proficiency in working with API: GraphQL, Rest
- Exceptional communication skills with the ability to engage in high-level technical discussions and translate complex concepts for non-technical stakeholders.
- Proven expertise in defining data models, data flows, and implementing data principles.
- Capability to recommend and implement strategies for effective data management and governance.
- Dedication to making data easy to consume and understand for internal teams and stakeholders.