Data Architect

Dautom; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a seasoned Data Architect to lead the design of innovative data models for enterprise projects. This role involves collaborating with cross-functional teams to gather requirements, ensuring a user-centric approach to data modeling, and managing data migration strategies. The ideal candidate will have over a decade of experience and a strong technical background, particularly in relational and NoSQL databases. Join a dynamic environment where your expertise will drive quality and innovation in data management, making a significant impact on the organization’s data strategy and architecture.

Qualifications

• Over 10 years of experience in data architecture and model design.
• Proficient in both relational and NoSQL databases with strong technical acumen.

Responsibilities

• Collaborate with teams to gather requirements for database design.
• Design and implement the Enterprise Canonical Data Model aligned with goals.

Skills

Data Modeling

Database Design

NoSQL

Data Migration

Communication Skills

Attention to Detail

SAP Performance Tuning

Big Data

Leadership

Adaptability

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Information Technology

Bachelor's degree in Data Modeling

Tools

SAP PowerDesigner

Microsoft Visio

erwin Data Modeler

Job description

Data Architect

Job Description:

Client Introduction:

In this role, you will have the opportunity to work closely with one of our esteemed clients. This client is a global leader known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects.

Data Architect/Modeler

• An experienced Data Architect/Modeler with a proven track record of designing robust enterprise data models for data platform projects. We are seeking a dynamic professional with over 10 years of hands-on experience. The ideal candidate should not only possess the technical expertise to manage project tasks and deliverables but also demonstrate strong collaboration skills and accountability for critical technical and architectural decisions.

Responsibilities:

• Collaborate and Innovate: Work closely with BI and DE teams to collaboratively gather requirements for database design and model, fostering an environment of innovation and shared insights.
• Design Leadership: Take charge of designing, implementing, and owning the Enterprise Canonical Data Model (CDM), ensuring its alignment with organizational goals and industry best practices.
• User-Centric Approach: Collaborate with non-technical business users to deeply understand and gather requirements for diverse business use cases, promoting a user-centric data modeling approach.
• Holistic Understanding: Develop a profound understanding of the data needs of the company, ensuring data solutions are aligned with overarching business objectives.
• Team Collaboration: Engage proactively with the development team, contributing to the design and construction of the database model, and actively participate in implementing database objects.
• Data Migration Expertise: Navigate the company's data migration needs by actively working with the development team to formulate and implement effective migration strategies.
• Metadata Mastery: Collaborate with data engineers to determine metadata querying requirements, leveraging your expertise in shaping efficient data architectures.
• Guidance and Best Practices: Provide valuable advice to data engineers on database performance tuning and best practices, contributing to the overall improvement of data management processes.
• Data Quality Management: Play a crucial role in determining and managing data cleansing requirements and Master Data Management (MDM), ensuring the integrity and quality of organizational data.

Skills and Qualifications:

• Technical Acumen: Proficient in relational and NoSQL databases, with a deep understanding of data architecture.
• Educational Background: Bachelor's degree in computer science, data science, information technology, or data modeling.
• Modeling Expertise: Knowledgeable in ER modeling, big data, enterprise data, and proficient in creating physical, logical, and conceptual data models.
• Tool Proficiency: Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin Data Modeler.
• Communication Skills: Excellent presentation, communication, and organizational skills.
• Attention to Detail: Strong attention to detail to ensure accuracy and precision in data models.
• Adaptability: Ability to thrive in a fast-paced environment, balancing independent work with effective collaboration within a team.

Required Skills:

SAP Performance Tuning, Data Quality, Modeling Objects, Database Design, Data Modeling, NoSQL, Data Migration, Quality Management, Big Data, Data Management, Visio, Accountability, Data Science, Deliverables, Architecture, Databases, Information Technology, Construction, Computer Science, Software, Leadership, Design, Communication, Business Science, Management.