Senior Data Architect

Overview

Job Description: Senior Data Architect (12 months contract)

Location: Abu Dhabi

About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

The Opportunity:

We are seeking a highly skilled Senior Data Architect (for a 12 months contractual role) to design and implement advanced data architectures and solutions to support Presight's growing needs. As a key contributor, you will help define our data strategy, optimize our analytics platform, and ensure the scalability, security, and integrity of our data systems.

Responsibilities

Key Responsibilities

• Data Architecture Design
• Develop and maintain scalable, high-performance data architectures aligned with Presight's business and analytics needs.
• Design and implement solutions for large-scale data integration, transformation, and storage.
• Define standards for data modeling, schema design, and metadata management.
  
  
  
  

• Data Governance and Quality
• Ensure data quality, consistency, and security across systems.
• Collaborate with stakeholders to implement data governance policies and practices.
• Support compliance with data privacy regulations and industry standards.
  
  
  
  

• Technical Leadership
• Provide technical guidance to data engineers, analysts, and other team members.
• Lead the evaluation and adoption of new technologies and tools to enhance the data ecosystem.
• Develop strategies to optimize data pipelines and workflows for performance and cost-effectiveness.
  
  
  
  

• Collaboration and Strategy
• Work closely with cross-functional teams, including AI/ML, product development, and business units, to align data strategies with organizational goals.
• Partner with business leaders to identify opportunities to leverage data and analytics for competitive advantage.
• Develop roadmaps for implementing modern data architectures, including cloud-based and hybrid solutions.
  
  
  
  

• Documentation and Reporting
• Maintain detailed documentation of data architectures, processes, and solutions.
• Provide regular updates and reports on data architecture progress, challenges, and opportunities to senior leadership.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
  
  
  
Qualifications

Skills and Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.
• Experience:
• 8+ years in data architecture, data engineering, or related roles.
• Proven expertise in designing and implementing enterprise data solutions.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and on-premises hybrid solutions.
  
  
  
  

• Technical Expertise:
• Skilled in at least two Master Data Management (MDM) and data governance tools.
• Experienced in widely-used data management patterns and data governance methodologies.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Kafka) and modern databases (e.g., Snowflake, MongoDB, Clickhouse).
• Advanced knowledge of ETL/ELT processes and tools (e.g., Informatica, Talend).
• Strong command of programming languages such as Python, Java, and SQL.
  
  
  
  

Analytical and Leadership Skills:

• Excellent problem-solving and strategic thinking abilities.
• Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
• Proven ability to lead and mentor technical teams.
• Strong understanding of Data Modeling and defining cogical & physical data models.
  
  
  

What we look for:

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Presight community.

What working at Presight offers:

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.