Sr. Data Architect

3 months ago

Doha, Qatar قطر للطاقة Full time

**Company**
QatarEnergy is an integrated national oil corporation that stands at theforefront of efforts for the long term sustainable

development,utilization and monetization of oil and gas resources in the State ofQatar. In its efforts to become one of the

best national energycompanies in the world, QatarEnergy's activities and those of itssubsidiaries and joint ventures,

encompass the entire spectrum of theoil and gas value chain locally, regionally, and internationally. Theyinclude the

exploration, refining and production, marketing, and sale ofoil and gas, liquefied natural gas (LNG), natural gas

liquids(NGL), gasto liquids (GTL) products, refined products, petrochemicals,fertilizers, steel and aluminum. As an

integrated corporation,QatarEnergy's activities also include marketing and sale of oil and gasand other various products.

QatarEnergy's operations and activities areconducted at various onshore locations, including Doha, Dukhan and

theMesaieed and Ras Laffan Industrial Cities; and at various offshoreareas, such as offshore oilfields production stations,

drillingplatforms, Halul oil export island, and the North Field, which is thelargest single non-associated gas reservoir in the

world covering anarea of 6,000 square kilometers. The utilization of this field’s massivereserves has become a primary
national goal to continue the developmentand prosperity of the country. QatarEnergy pays the utmost attention tothe health

and safety of its employees, contractors, visitors and thelocal communities where it operates. From drilling to

construction,operations to decommissioning, QatarEnergy's health, safety andenvironment policy forms an integral part of

the corporation’s dailybusiness and long term planning. QatarEnergy is committed to contributeto a better future by meeting
today’s economic needs, while safeguardingour environment and resources for generations to come. Thriving oninnovation
and excellence, QatarEnergy is bound to the highest levels ofsustainable human, socio-economic, and environmental

development inQatar and beyond.

**Department**
INFORMATION & COMMUNICATION TECHNOLOGY

**Primary purpose of job**
Design data architecture and lead platform implementation, considering scalability, security, and integration with existing

systems. Leading the implementation, and overall optimization of data flows related activities. Capturing QatarEnergy

Enterprise data model with conceptual logical and physical models.

Accountability:

- Define and implement the data & digital platform architecture and services.
- Create, and update QatarEnergy enterprise data models and data architecture (across entities)
- Design data pipelines and assure its optimization.

Data Platform and Digital Use cases).

Experts, Digital Project Group and key IT vendors.
- Evaluate and recommend innovative solutions to enhance and mature QatarEnergy’s data architecture and analytics.

**Experience & Skills**:

- 10 years’ experience within Oil and Gas, understanding of Upstream and Downstream Data requirements
- 5 Years of proven experience designing and implementation data models for enterprise data warehouse initiatives within

Oil and Gas
- 8 years of experience in Project Management
- Strong ability in programming languages such as Java, Python, and C/C++
- Ability in data science languages/tools such as SQL, R, SAS, or Excel
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (Azure,

GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks)
- Strong Knowledge of Database systems, BI Technologies, Applications Architecture, Information Security Principles
- Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
- Strategic partnership development with top data service providers.
- Ability to communicate across all levels of the organization and work with diverse project teams.

**Education**:

- A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and
quantitative skills.
- Advanced degrees (Master's or PhD) in Data Science, Computer Science, Oil & Gas, Energy Management, or Petroleum

Engineering is highly desirable

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