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Big Data Architectural Engineer

2 weeks ago

Sydney, New South Wales, Australia beBeeData Full time $110,000 - $140,000

Job Title:

Big Data Architectural Engineer

At a leading professional services firm, your expertise can shape better outcomes for communities and businesses. Our advanced data team is expanding, seeking an accomplished Big Data Architectural Engineer to join our vast community of innovators.

Key Responsibilities:

  • Develop the strategic design and execution of robust, scalable big data architecture, leveraging cutting-edge frameworks across distributed systems.
  • Spearhead integrations of complex data ecosystems, ensuring high reliability and performance for real-time processing across leading cloud platforms.
  • Architect high-quality, efficient big data warehouse solutions using state-of-the-art modelling techniques, optimizing storage and retrieval of large datasets.
  • Lead automation initiatives, overseeing integration of machine learning models into data workflows through efficient programming in Python and Spark.
  • Utilise industry knowledge and technical expertise to align data engineering practices with business objectives, maximising organisational impact and innovation.
  • Lead and mentor a team of data engineers, fostering innovation and excellence.
  • Strategically align data initiatives with business goals and collaborate with cross-functional teams.

Requirements:

  • Experience: 5+ years of experience delivering data pipelines in a business environment.
  • Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.
  • Communication Skills: Ability to convey technical concepts clearly to non-technical stakeholders.
  • Team Player: Ability to work collaboratively in a team-oriented environment.
  • Technical skills:
    • Strong programming skills in Python.
    • Extensive experience with cloud platforms (AWS, Azure, GCP, Databricks or Snowflake).
    • Solid understanding of data engineering and pipelines (SQL, ETL/ELT, distributed systems), metadata driven data engineering, and orchestration services.
    • Proficiency in big data technologies like Hadoop, Spark, and Kafka.
    • Ability to work with metadata driven data engineering pipelines and tools such as jinja and DBT.

What You'll Gain:

  • The opportunity to work with leading organisations and cutting-edge technology that challenge and expand your expertise.
  • Flexibility means trusting you to choose when, where, and how you work—balancing what's best for you, your team, and your clients to grow and thrive together.
  • Clear paths for career progression supported by continuous learning and leadership development.
  • Generous leave entitlements including four weeks' annual leave and public holidays to support your work-life balance.
  • A world-class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life.

Ready to Grow and Thrive? Join our organisation as a Big Data Architectural Engineer and make an impact that goes beyond the expected.