Chief Data Architect

2 weeks ago

Melbourne, Victoria, Australia M&T Resources Full time

Melbourne

IT & Telecomms IT - Other

  • Initial 6 months contract with high possible extension
  • Attractive and competitive daily rates of $120-$150 AUD per day
  • Hybrid work arrangement
About the Company:

We are a leading provider of innovative technology solutions, committed to delivering exceptional services to our clients. Our team is passionate about leveraging cutting-edge technologies to drive operational efficiency and enhance the travel experience.

About the Role:

We are seeking an experienced Chief Data Architect to lead our data engineering team and contribute to our mission of delivering exceptional services. As a key member of our team, you will be responsible for designing, implementing, and maintaining robust and scalable data pipelines using Databricks, Azure Data Factory, and other tools within the Microsoft Stack – Fabric.

Key Responsibilities:

  • Data Pipeline Development: Design, implement, and maintain efficient ETL (Extract, Transform, Load) pipelines using Databricks, Azure Data Factory, and other tools within the Microsoft Stack – Fabric.
  • Cloud Data Infrastructure: Architect, manage, and optimize Azure Data Lake, Azure Synapse Analytics, and Databricks environments to enable seamless data processing at scale.
  • Cross-functional Collaboration: Work closely with data scientists, analysts, business intelligence teams, and other stakeholders to understand data requirements and ensure high-quality data solutions are delivered.
  • Real-Time Data Processing: Build and optimize real-time data pipelines using Azure Stream Analytics, Event Hubs, or other stream-processing technologies for time-sensitive analytics.
  • Data Governance and Quality: Implement data governance best practices, ensuring data accuracy, consistency, and security across all datasets and pipelines.
  • Optimization and Performance Tuning: Regularly analyze and optimize the performance of data workflows and queries, ensuring scalability and high availability in cloud environments.
  • Mentorship: Provide guidance and mentorship to junior data engineers and help grow the data engineering team's technical expertise.
Requirements:
  • Experience in data engineering or a related role, with a strong emphasis on working with large-scale data processing and cloud platforms.
  • Expertise in Databricks and hands-on experience working with Apache Spark in cloud environments.
  • Experience with Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and other Microsoft Azure-based data engineering tools.
  • Familiarity with Microsoft Stack – Fabric and how it integrates with Azure Synapse, Power BI, Azure Machine Learning, and other related technologies.
  • Proficiency in SQL and experience working with relational and non-relational databases.
  • Solid understanding of data modeling, ETL processes, and data pipeline automation.
  • Experience with Microsoft Dynamics (preferred) or similar enterprise resource planning (ERP) systems is a plus.
  • Familiarity with big data technologies and distributed computing concepts.
  • Bachelor's degree in computer science, Engineering, Information Technology, or a related field.
Benefits:
  • Competitive salary and benefits package.
  • Opportunities for professional development and career advancement.
  • A collaborative and inclusive work environment.
  • The chance to contribute to innovative projects.

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