Data Architect // Data Brick & Kakfa

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:
• Dimensional modelling – hands on designing and developing dimensional models involving different data sets
• Domain modelling – Experience in designing Lake house Tabular data modelling (Flatten tables)
• Defining and building Data quality controls and frameworks
• 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]