Senior Data Architect
2 weeks ago
Qualification & Field: Bachelor degree in computer science
Total years of experience: Brief about the role: Responsibilities:
Lead the development of conceptual logical and physical data models.
Implement business and IT data requirements across relational
dimensional and NoSQL platforms.
Define and enforce data modelling and design standards tools and best
practices.
Oversee the implementation of RDBMS operational data store (ODS)
data marts and data lakes.
Identify architecture infrastructure and interfaces to data sources
ensuring security and analytic model support.
Optimize data query performance through best practices. Identifying
areas for improvement in current data systems.
Collaborate with teams addressing project requirements and reducing
delivery risks.
Support the development of data tools for reporting visualization
analytics and machine learning.
Designing and managing data infrastructure to extract organize and
store data for authorized users to access.
Identifying internal and external data sources within the organization.
Ensuring the accuracy security and accessibility of the data.
Requirements:
Strong expertise in conceptual logical and physical data modelling. In
addition to data warehouse and data lake design approaches with handson
experience of Inmon & Kimball methodologies.
Handson experience with RDBMS NoSQL databases and Cloudera CDP
technologies.
Proven experience in defining and implementing data architecture
strategies.
Excellent communication skills for technical and nontechnical
stakeholders.
Experience in performance tuning for data queries.
Understanding of data modelling and design standards tools and best
practices.
Analytical mindset and problemsolving skills for proactive project
support.
Experience with modelling tools like ERWIN. Similar titles in the market: Data Architect Data Modeler Data Warehouse Specialist Key words: Data Architecture Data Modeling Master Data Management Data
Warehouse Big Data Cloudera ERWIN. The most important special requirements needed for this role:
Lead the development of conceptual logical and physical data models. Industries preferred: Financial/Banking Any additional notes/requirements needed to be considered for Sourcing: The candidate should possess proficient English fluency and Arabic is a plus.
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