
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:
-
5+ years of experience in data architecture, design, and implementation.
-
Strong experience with Data Warehousing (DWH) concepts, design, and ETL processes.
-
Hands-on experience with Databricks.
-
Proficiency in Kafka for real-time data streaming.
-
Strong understanding of cloud-based data platforms (AWS, Azure).
-
Expertise in data modeling, SQL, and T-SQL databases.
-
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 alex.nguyen@talentinternational.com