Our client is a well-known client in the Financial Services sector. They are seeking a highly skilled Data Architect to design, implement, and optimize enterprise-level data solutions. The ideal candidate will have expertise in Data Warehousing (DWH), DataBricks, Kafka, and Data Architecture. This role involves working closely with cross-functional teams to develop scalable and efficient data architectures that support business needs.

Responsibilities:

• Design and develop scalable, high-performance data architectures.
  
• Lead the design, implementation, and maintenance of Data Warehouses (DWH) and Data Lake solutions.
  
• Utilize Databricks to build and manage big data pipelines.
  
• Implement real-time data streaming solutions using Kafka.
  
• Define data modeling standards, best practices, and governance policies.
  
• Collaborate with engineering teams to ensure seamless integration of data solutions.
  
• Optimize data storage, retrieval, and processing for performance and efficiency.
  
• Ensure security, compliance, and data privacy standards are met.
  
• Provide technical leadership and mentorship to data engineering teams.
  

Requirements:

6+ years of experience in data architecture, design, and implementation.

• Must have:

1. Dimensional modelling - hands on designing and developing dimensional models involving different data sets
2. Domain modelling - Experience in designing Lake house Tabular data modelling (Flatten tables)
3. Defining and building Data quality controls and frameworks
4. Hands on experience with Data Bricks, Azure Data factory and real time streaming

Experience with data governance, security, and compliance best practices.

Strong problem-solving skills and the ability to work in a fast-paced environment.

Excellent communication and collaboration skills.

If you think you have the above skills and experiences, click the 'Apply' button or send your resume to [email protected]