Data Engineering & Analytics Manager - AWS

University of Melbourne; City of Melbourne; On-site; AUD 140,832 - 172,128; Full time

Benefits offered by this job

Flexible work arrangements

Health and well-being services

Salary packaging

Discounted health insurance

Job summary

A prestigious Australian university is seeking a Data Engineering & Analytics Manager to lead data engineering initiatives and a talented team of data engineers. The role focuses on overseeing scalable data pipelines and driving innovation in data practices, requiring a strong technical background and proven leadership experience. This position offers a competitive salary and flexible work arrangements.

Qualifications

• Experienced data leader with a strong technical background in data engineering and warehousing.
• Proven experience managing teams in AWS or Snowflake environments.
• Deep understanding of cloud data governance, security, and compliance.

Responsibilities

• Provide direction for Snowflake data warehouse and AWS data lake architecture.
• Lead and develop a team of data engineers and analysts.
• Oversee the creation of secure data pipelines.

Skills

Problem-solving skills

Strong communication skills

Interpersonal skills

Leadership experience

Data governance knowledge

Education

Bachelor's or postgraduate degree in Information Technology, Computer Science, or related field

Tools

AWS

Snowflake

Job description

Data Engineering & Analytics Manager - AWS

Application to the Data Engineering & Analytics Manager – AWS role at the University of Melbourne.

Salary: A$156,480.00 per year (plus 17% super).

Responsibilities

• Platform Leadership: Provide direction and oversight for the Snowflake data warehouse and AWS data lake architecture, ensuring alignment with organisational goals.
• Team Management: Lead and develop a team of data engineers and analytical analysts, fostering a high-performing, collaborative culture.
• Data Pipeline Development: Oversee the creation of scalable, secure data pipelines, ensuring efficient data movement, transformation, and governance.
• Innovation: Drive the evolution of data engineering and data science practices, embedding best practices in automation, security, and performance.

Qualifications

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.

• Hold a bachelor’s or postgraduate degree in Information Technology, Computer Science, or a related field.
• Have proven leadership experience in managing data engineering and data science teams, preferably in AWS or Snowflake environments.
• Demonstrate deep understanding of data governance, security, and compliance in cloud environments.
• Possess strong communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders.
• Show a commitment to mentoring and developing team members, fostering a culture of continuous learning and innovation.

Benefits

• Supportive flexible work arrangements underpinned by our commitment to inclusion and well‑being.
• Progressive, considerate leave provisions to empower work‑life balance.
• Salary packaging and access to a range of discounted services including Bupa health insurance.
• Health and well‑being services including a leading Employee Assistance Programme.

Application Process

Please submit the following documents:

• Resume
• Cover Letter outlining your interest and experience
• Responses against the Selection Criteria (see Position Description)

Applications close on Sunday 9th November AEST.

Contact

For recruitment queries, email Mick Powar at [e-mail]. Include the position number and job title in the subject line.

For reasonable adjustments or Indigenous applicant enquiries, contact Kim Groizard at [phone] or email [e-mail].

Note: This role requires current valid work rights for Australia. Visa sponsorship is not available. A Working with Children Check (WWCC) is required.

Equal Employment Opportunity: The University of Melbourne is committed to creating an inclusive and equitable workplace.