Data Architect for Mission-Critical Data Platforms

1 week ago

Melbourne, Victoria, Australia McMillan Shakespeare Limited Full time

At McMillan Shakespeare Limited, our mission is to make a meaningful difference in people's lives. Our goal is to offer tailored solutions that cater to the diverse needs of our clients and customers across Australia and New Zealand. As a trusted partner, we strive to simplify complexities and turn challenges into opportunities.

We aim to enhance financial wellbeing and empower aspirations through our various services, including salary packaging, fleet management, and disability support. Our subsidiaries offer a breadth of services and expertise designed to responsibly deliver superior long-term value to our clients and customers, which include Federal and State governments and some of the largest public and private sector, health, and charitable organisations.

Job Description

As a Data Engineer, you will be working with a team to deliver high-quality mission-critical data platforms for our stakeholders. You will use your expertise in Azure Data Factory, dbt, SQL Server, and Snowflake to design, build, and maintain scalable and reliable data pipelines, data models, and data warehouses. This role requires collaboration with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.

This position sits within our Architecture and Common Platforms team, ensuring that the data provided via key platforms is available when and where it is needed. You will work closely with other business stakeholders and IT teams as required.

Key Responsibilities
  • Design, develop, test, and deploy data pipelines using Azure Data Factory, dbt, and Snowflake.
  • Ensure data quality, reliability, and scalability across our data platforms.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.
  • Provide technical guidance and support to other data engineers and data practitioners.
  • Report to the Data Engineering Practice Lead and contribute to the data engineering best practices and standards.
Required Skills and Qualifications

You will bring:

  • Bachelor's degree in computer science, Engineering, or related field or equivalent work experience.
  • At least 5 years of experience in data engineering, preferably in a consulting or professional services environment.
  • Strong knowledge and experience in Azure Data Factory, dbt, and Snowflake.
  • Proficient in SQL.
  • Experience in data modelling, data warehousing, and data quality.
  • Experience in leading and managing data engineering teams and projects.
  • Excellent communication, presentation, and problem-solving skills.
  • Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Benefits

We offer:

  • A strong people-first culture.
  • Flexible/hybrid working to enhance your work/life balance.
  • Novated lease benefits and discounts.
  • 12 weeks Paid Parental leave and access to our Parents Portal.
  • Exempt Employee Share Plan.
  • Paid Income Protection Insurance under MMSG default Super plan.
  • Access to a broad range of learning and development programs.
  • Career break and volunteering leave.
  • Access to Employee Assistance Program and annual Flu vaccination.
  • Lifestyle Rewards program.

Our commitment to Diversity, Equity & Inclusion fosters an environment where all differences are valued and respected. We encourage Aboriginal and Torres Strait Islander people, individuals from all backgrounds, including those caring for and living with disability to apply.

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