Home Saudi Arabia Data Architect

Home Saudi Arabia Data Architect

Data Architect

Full time at Saudi Aramco in Saudi Arabia
Posted on March 6, 2024

Job details

Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Overview

We are seeking a Data Architect to join the Corporate Data Office within our Digital Transformation Admin Area.

The Corporate Data Office is responsible for establishing and executing world-class Corporate-wide data governance to ensure all data assets are proactively and efficiently governed and managed across Saudi Aramco, to foster a data driven organization and promote data value realization in line with its strategic goals as well to adequately comply with national and international data regulations.

The Data Architect will work within the Corporate Data Office enabling the company's vision for data and analytics. The role requires deep subject matter expertise combined with a tenacity for dealing with a complex data landscape.

The Data architect will create the standards and introduce new Corporate disciplines from strategic artifacts such as the Conceptual Model, to adoptions of industry metamodels, taxonomies and data flows.

The Data Architect will help set the guard rails for best practices, including establishment of modelling tooling and platforms. The holder will be a leader in their field and will be a trusted hand, able to provide architectural expertise for the wider organization.

Duties & Responsibilities

 

 

  • Manage the Corporate Data Architecture Reference Model for the Data Office and its clients.
  • Develop & maintain the Corporate Conceptual Data Model, ensuring continued scalability, and aligned with business requirements.
  • Work across stakeholders to gather solution requirements and propose architecture decisions.
  • Define & maintain the Corporate Data Domains and associated taxonomies.
  • Shape enterprise data architecture design patterns, design principles and best practices enhancing business solution delivery;
  • Define and manage the flow of data and dissemination of information within the Corporate Data Office's platforms and services.
  • Assist in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools.
  • Manage end-to-end data architecture within the Office, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution in conjunction with stakeholders and data engineers.
  • Assist in identifying appropriate data sourcing and extraction processes, and in identifying and nominating sources as systems of record for data usage in various applications.
  • Identify new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset at the Digital Transformation Officer and Senior Management levels.
  • Identify data sources, both internal and external, and working out a plan for optimal data movement.

 

Education & Experience Requirements

As the successful candidate you will hold a Bachelor's degree in Computer Science, Management of Information System, Information Management or other relevant qualification, from a recognized and approved program. An advanced degree is preferred.

Candidate will have ten (10) years of experience in a major organization, with large-scale data management and oversight experience, including experience in a senior management role, or transformation leadership experience.

 

 

 

 

  • Candidate must have knowledge of industry leading data quality and data protection management practices.
  • Candidate should possess knowledge of data related governance regulatory requirements and emerging trends and issues.
  • Candidate must have experience in in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies
  • Candidate will be able to demonstrate consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement system design.
  • Candidate with Oil & Gas sector expertise are preferred
  • Candidate should have knowledge of risk data architecture

 

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.

 

 

Apply safely

To stay safe in your job search, information on common scams and to get free expert advice, we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organization working to combat job scams.

Share this job
Improve your chance to get this job. Do an online course on Machine Learning starting now. Claim $10 promo towards online courses. See all courses
See All Data Jobs
Feedback Feedback