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 ******
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