Data Architect

at  Environment Protection Authority

JOB DESCRIPTION

Location: Melbourne | CBD
Job type: Full Time - Fixed Term
Organisation: Environment Protection Authority
Salary: $130,673 - $174,869
Occupation: Information Management
Reference: 803

THE EPA EXPERIENCE

• See the impact in the communities we live in: at EPA you see your work first-hand
• Range of internal working groups, networks and volunteering opportunities
• On-the-job training for a wide range of environmental roles
• Flexible start and finish times, as well as compressed work week options

SKILLS AND EXPERIENCE:

• A proven record of achievement in a senior data architect role leading an organisation/ business through change to achieve high performance and a positive organisational culture.
• Experience leading projects involving data warehousing, data modelling, and data analysis and design experience in Azure Databricks, PySpark, and Power BI/Tableau. Strong ability in programming languages such as Java, Python, and C/C++ and data science languages/tools such as SQL, R, SAS, or Excel.
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks).
• Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata and familiarity with AI/ML concept including NLP. Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau.
• A relevant tertiary degree and/or post graduate qualifications is desirable.
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NEED TO KNOW MORE?

All prospective employees will also undergo a National Criminal Record Check prior to an offer of employment. You must be an Australian Citizen or Permanent Resident or hold a valid work permit or visa. Preferred candidates will be subject to pre-employment checks including, but not limited to, police checks, reference checks and role related security clearances.
EPA Victoria recognises the value of the diversity, strength, and knowledge of Aboriginal and Torres Strait Islander people as we work with Traditional Owners to care for our environment. We provide a culturally safe and embracing work environment.
We are an equal opportunity employer with a commitment to merit, equity, diversity, and inclusion in the workplace. We believe our workforce should represent the diversity of the lands upon which we reside; and we actively embrace staff of different abilities, orientations, backgrounds, faiths, and genders

ABOUT THE ROLE:

You will be responsible for designing, creating, and managing an organization’s data architecture. This role is critical in establishing a solid foundation for data management within EPA, ensuring that data is organized, accessible, secure, and aligned with business objectives. The data architect will design warehouses, file systems and databases, and defines how data will be collected and organized within EPA. The role will have a strong interface to IT and will work in partnership with the Enterprise Architect. You will set-up data blueprint and work across multiple programs to deliver the target state outcomes and also manages change effectively.

IN THIS ROLE YOU WILL:

• Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Design the structure and layout of data systems, including databases, warehouses, and lakes.
• Select and implement database management systems that meet the organisation’s needs by defining data schemas, optimising data storage, and establishing data access controls and security measures.
• Define and implement the long-term data roadmap/strategy and innovations roadmaps across analytics, data engineering, and data platforms. Define and manage standards, guidelines, and processes to ensure data quality and should be able to articulate data risks and the connectedness of these risks across the data portfolio is essential.
• Design and implement processes for the ETL process from various sources into the organization’s data systems and translates high-level business requirements into data models, appropriate metadata, test data & data quality standards.