Job Description
Data Engineering & Analytics Manager - AWS n
Application to the Data Engineering & Analytics Manager – AWS role at the University of Melbourne.
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Salary: A$156,****** per year (plus 17% super).
Responsibilities n
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Platform Leadership:
Provide direction and oversight for the Snowflake data warehouse and AWS data lake architecture, ensuring alignment with organisational goals.
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Team Management:
Lead and develop a team of data engineers and analytical analysts, fostering a high-performing, collaborative culture.
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Data Pipeline Development:
Oversee the creation of scalable, secure data pipelines, ensuring efficient data movement, transformation, and governance.
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Innovation:
Drive the evolution of data engineering and data science practices, embedding best practices in automation, security, and performance.
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Qualifications n
You may be a great fit if:
You are an experienced data leader with a strong technical background in data engineering and warehousing, possessing excellent problem‐solving skills and the ability to drive innovation in complex, enterprise‐scale data environments.
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Hold a bachelor's or postgraduate degree in Information Technology, Computer Science, or a related field.
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Have proven leadership experience in managing data engineering and data science teams, preferably in AWS or Snowflake environments.
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Demonstrate deep understanding of data governance, security, and compliance in cloud environments.
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Possess strong communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders.
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Show a commitment to mentoring and developing team members, fostering a culture of continuous learning and innovation.
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Benefits n
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Supportive flexible work arrangements underpinned by our commitment to inclusion and well‐being.
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Progressive, considerate leave provisions to empower work‐life balance.
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Salary packaging and access to a range of discounted services including Bupa health insurance.
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Health and well‐being services including a leading Employee Assistance Programme.
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Application Process n
Please submit the following documents:
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Resume
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Cover Letter outlining your interest and experience
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Responses against the Selection Criteria (see Position Description)
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Applications close on Sunday 9th November AEST.
Contact n
For recruitment queries, email Mick Powar at . Include the position number and job title in the subject line.
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For reasonable adjustments or Indigenous applicant enquiries, contact Kim Groizard at or email .
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Note: This role requires current valid work rights for Australia. Visa sponsorship is not available. A Working with Children Check (WWCC) is required.
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Equal Employment Chance: The University of Melbourne is committed to creating an inclusive and equitable workplace.
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📌 Data Engineering & Analytics Manager - Aws (Melbourne)
🏢 University Of Melbourne
📍 Melbourne