Job Description
Overview
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We are seeking a highly skilled and innovative Senior Data Consultant (Databricks) to join our agile Data & Analytics team. This role is ideal for someone passionate about building scalable data solutions and driving business value through advanced analytics.
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As a Senior Data Consultant, you will play a key role in designing, developing, and optimizing data pipelines, collaborating closely with solution architects, analysts, and cross-functional teams to deliver robust data models and cloud-based solutions that support enterprise analytics and machine learning initiatives.
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Responsibilities
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Design, develop, and maintain end-to-end data pipelines using modern data platforms and tools.
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Build and manage ETL/ELT processes for large-scale data transformation in both real-time and batch modes.
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Develop and maintain scalable data models and schemas to support analytics and ML applications.
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Collaborate with data scientists, analysts, and IT teams to gather requirements and deliver high-quality data solutions.
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Optimize performance and scalability of data pipelines, ensuring efficient resource usage and data quality.
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Implement data governance best practices, ensuring data integrity, privacy, and security.
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Leverage cloud platforms (AWS, Azure, or GCP)



to implement and manage data pipelines and infrastructure.
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Monitor, troubleshoot, and resolve data pipeline issues to ensure reliability and uptime.
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Automate workflows and implement CI/CD pipelines for seamless deployment of data applications.
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Stay current with emerging technologies and best practices in data engineering and cloud platforms.
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Required Qualifications
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Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
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Proven experience as a Senior Data Consultant with hands-on expertise in Databricks.
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Strong understanding of data warehousing, ETL/ELT, and data modeling principles.
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Experience with Delta Lake and building scalable, high-performance data pipelines.
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Hands-on experience with cloud platforms (AWS, Azure, or GCP).
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Familiarity with tools like Apache Kafka, Airflow, or similar orchestration frameworks.
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Knowledge of version control (e.g., Git) and CI/CD practices.
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Excellent analytical, problem-solving, and communication skills.
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Benefits
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Competitive Compensation & Pay for Performance
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Opportunities to be more for yourself and others
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#J-*****-Ljbffr

📌 Senior Data Consultant (Databricks) (New South Wales)
🏢 Mivada
📍 New South Wales