Cloud Data Architect Lead
1 week ago
About the Role:
We are seeking a skilled Cloud Data Architect Lead to join our team in Sydney, Australia. As a key member of our pre-sales team, you will be responsible for guiding technical evaluations and providing expert advice on data engineering and cloud architecture.
Key Responsibilities:
- Lead technical evaluations and provide recommendations on data engineering and cloud architecture solutions
- Collaborate with customers to understand their data challenges and develop tailored solutions
- Design and implement architectures within public clouds (AWS, Azure, or GCP)
- Develop and deliver presentations and workshops to engage with technical communities
- Form successful relationships with clients throughout your assigned territory to provide technical and business value
Requirements:
- Pre-sales or post-sales experience working with external clients across various industry markets
- Understanding of customer-facing pre-sales or consulting role with a core strength in Data Engineering and Cloud Architecture
- Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP)
- Fluent coding experience in Python or Scala implementing Apache Spark, Java
- Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
What We Offer:
- A competitive salary range of $140,000 - $180,000 per annum, depending on experience
- Ongoing professional development opportunities
- A collaborative and dynamic work environment
- The chance to work with a leading-edge technology company
About Databricks Inc.:
Databricks is the data and AI company that makes it easy to create analytics workspaces, deploy machine learning models, and collaborate in an interactive manner. Over 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. We are headquartered in San Francisco, with offices around the globe and were founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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