Senior Data Architect
Role Overview
The Senior Data Architect leads design, implementation, and governance of enterprise data solutions for business operations and strategic decision-making.
The description identifies this as a contract, on-site role based in Dubai, United Arab Emirates.
Key Skills for This Role
Full Job Posting
Company description
The description presents Naman Industries Proxima Limited as a company building fixtures for retail, commercial, and industrial environments.
It describes end-to-end projects from concept and precision engineering through custom manufacturing and large-scale rollout, with products made in India and deployed globally.
Role
The Senior Data Architect leads design, implementation, and governance of enterprise data solutions for business operations and strategic decision-making.
The description identifies this as a contract, on-site role based in Dubai, United Arab Emirates.
Responsibilities
- Define data architecture standards, develop data models, and oversee data integration across systems and platforms.
- Collaborate with business and technical stakeholders; design data warehousing and ETL workflows.
- Ensure data quality and security and document data structures and metadata.
- Guide development teams, review designs for architectural alignment, and recommend improvements to data infrastructure and governance.
Qualifications
- Strong data architecture and modeling skills for scalable, secure, high-performance solutions.
- Data governance expertise covering data quality, security, compliance, and master data management.
- ETL and data warehousing skills, including pipeline design and optimization and analytical data stores.
- Experience with modern data platforms, such as cloud data warehouses or big data technologies, and relational databases.
- Proficiency in SQL and at least one data engineering programming or scripting language, such as Python or Java.
- Strong analytical, problem-solving, and communication skills; ability to work with cross-functional teams on-site.
- Relevant bachelor's or master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Data architecture or cloud certifications are beneficial; manufacturing, retail, industrial, multinational, or geographically distributed experience is advantageous.
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