Unlock your potential with a prestigious opportunity alongside an award-winning, data-driven industry leader!
A tremendous chance awaits a Data Architect to collaborate a highly respected team.
The successful candidate will play a pivotal role in building and maintaining robust, scalable, and high-performance data solutions that support our business's strategic objectives.
9 months contract with a view to extend on Sydney's north shore.Responsibilities:Develop and maintain the organization's Databricks-based data architecture by understanding business needs, current systems, and data movements.Collaborate with stakeholders, data engineers, and business analysts to gather requirements and translate them into technical solutions on the Databricks platform.Design and implement scalable data models, data pipelines, and ETL processes using Databricks to support various analytical and operational requirements.Optimize and maintain the performance and stability of data solutions on the Databricks platform, ensuring reliability, efficiency, and security.Provide expertise in Databricks best practices, configuration, and tuning to maximize the platform's capabilities and benefits.Lead and mentor a team of data engineers, providing guidance and knowledge transfer on Databricks architecture and development best practices.Stay current with industry trends, emerging technologies,



and best practices in data engineering and architecture, and leverage this knowledge to continually improve our data solutions.Ideally you will have:Bachelor's degree in computer science, information technology, or a related field.
A Master's degree is a plus.Proven experience as a Data Architect, including at least 3 years of hands-on experience with Databricks architecture and development.Expertise in building and optimizing data pipelines and ETL processes using Databricks, Apache Spark, and related technologies.Strong understanding of cloud-based data platforms, particularly Azure, and proficiency in leveraging Databricks in these environments.In-depth knowledge of big data technologies, data warehousing, and data modeling concepts, as well as experience with structured and unstructured data formats.Proficiency in programming and scripting languages such as Python, SQL, Scala, or Java, with a focus on data manipulation and processing.Experience in Azure data factory and Power BI also preferred.Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and convey complex technical concepts to non-technical stakeholders.Proven leadership and mentoring skills, with the ability to guide and develop a team of data engineers in implementing Databricks data solutions.
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📌 Data Architect (New South Wales)
🏢 Mane Consulting
📍 New South Wales