Data Architect

Job Description:

As a Data Architect, you will collaborate with cross-functional teams to define data architecture strategies, ensure data governance, and drive the evolution of our data platforms.

Key Responsibilities:

• Design and implement end-to-end data architecture solutions in Azure, leveraging Azure Databricks.
• Develop and maintain data pipelines, ensuring data quality, scalability, and performance.
• Collaborate with data engineers, data scientists, and business stakeholders to define data requirements and ensure the architecture meets business needs.
• Optimize data storage, processing, and querying for performance in Databricks.
• Ensure data governance best practices are applied, including security, privacy, and compliance.
• Lead the integration of Azure Databricks with other Azure services like Data Lake, SQL Data Warehouse, and Power BI.
• Stay up-to-date with emerging data technologies, trends, and best practices to continually improve data infrastructure.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• Proven experience (5+ years) in data architecture, with at least 2 years of experience working with Azure Databricks.
• Strong knowledge of Azure services such as Data Lake, Azure SQL Data Warehouse, and Azure Synapse.
• Proficient in SQL, Python, or Scala for data pipeline development.
• Experience with designing scalable, performant, and secure data architectures.
• Understanding of data warehousing, ETL processes, and data governance frameworks.
• Strong problem-solving skills and ability to work in a collaborative environment.

Preferred Skills:

• Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect).
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud-native services.
• Familiarity with machine learning and AI integration into data solutions.