Senior Data Architect
3 days ago
As an experienced Data Engineer, you will play a crucial role in enhancing our data-driven decision-making processes. You will design, implement, and optimize data solutions using Azure Databricks, Azure Data Factory, and other related technologies.
You will collaborate closely with multi-functional teams to ensure the efficient management, processing, and analysis of large datasets. The ideal candidate will have a strong background in cloud computing, particularly within the Azure ecosystem, and experience working with large-scale data environments.
Key Responsibilities:
- Design and develop scalable data pipelines using Azure Databricks.
- Analyze and optimize existing data pipelines for performance, reliability, and efficiency.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Provide expertise and guidance in selecting appropriate Azure services and tools to build robust data solutions.
- Implement security measures and standard processes to ensure data privacy and compliance with regulatory standards.
Requirements:
- Bachelor's degree in computer science or engineering, or equivalent work experience within data engineering.
- Proven experience working with Azure Databricks in large-scale data environments.
- Must be well-versed with Databricks Lakehouse, Unity Catalog concept, and its implementation in enterprise environments.
- Must have strong understanding of data warehousing and various governance and security standards around Databricks.
- Proficiency in programming languages such as Python/PySpark and query languages like SQL.
Estimated Salary: $160,000 - $200,000 per year, depending on location and experience.
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