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- 10+ years of consulting and technology experience
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- 7+ years in Data Engineering, Data Platforms, or Analytics
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- 6–8 enterprise Databricks implementations delivered in production
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? Key Responsibilities
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- Design and lead enterprise-scale Data & AI solutions on Databricks Lakehouse
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- Architect scalable data platforms across AWS, Azure and/or GCP
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- Lead end-to-end Databricks implementations from discovery to production
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- Build and optimize data pipelines using Apache Spark, Databricks and Delta Lake
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- Drive performance tuning, cost optimization and platform scalability
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- Implement CI/CD, DevOps and Infrastructure-as-Code practices
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- Support MLOps and modern AI workflows
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- Lead architecture workshops, technical discovery sessions and executive presentations
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- Work directly with global enterprise customers and senior stakeholders
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- Mentor engineering teams and drive architecture/governance best practices
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? Must-Have Skills
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- Strong hands-on Databricks
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- Apache Spark / PySpark
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- Delta Lake
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- Enterprise Data Architecture
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- Cloud platforms – AWS / Azure / GCP
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- Data Engineering & distributed data platforms
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- Data governance, security and platform modernization
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- Strong customer-facing consulting experience
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- Excellent communication and presentation skills
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- Databricks Data Engineer Professional Certification – Mandatory
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? Education
Bachelor's degree in Computer Science, Engineering, IT or related field.n
nMaster's degree preferred.n
? What We’re Looking For
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A hands-on architect who can design, implement and lead enterprise Databricks solutions , engage confidently with customers and provide technical leadership throughout the delivery lifecycle.
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? Interested candidates can share their updated CV along with:
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- Current Location
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- Total Experience
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- Current CTC
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- Expected CTC
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- Notice Period / Earliest Joining Date
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📌 Urgent Hiring Databricks Solution Architect | Sydney, Australia
🏢 N Human Resources
📍 Sydney
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