Dat a Architect (Category - Architect)
Sector:
Oil and Gas
Location:
Doha, Qatar About Us
At Codvo, we are committed to building scalable, future‑ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting‑edge technology.
Our Vision:Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high‑impact data and AI use cases designed to fundamentally re‑engineer our operations—from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company.
We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value.
The Data Architect will be responsible for designing, governing, and evolving the organization’s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI‑ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements.
Job DescriptionKey Responsibilities Enterprise Data Architecture & Design
- Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.
- Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.
- Ensure architecture supports scalability, performance, and high availability.
- Architect cloud‑native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.
- Design secure hybrid architectures integrating on‑premises systems with cloud data platforms.
- Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.
- Establish data quality standards, validation rules, and monitoring mechanisms.
- Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.
- Define data security architecture including encryption, access control, and role‑based data access.
- Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.
- Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.
- Establish data architecture standards, reference architectures, and best practices.
- Review solution designs to ensure alignment with enterprise data architecture principles.
Skills and Qualifications
- Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or related field.
- 10+ years of experience in data architecture, data engineering, or enterprise analytics roles.
- Strong experience designing enterprise‑scale data platforms in cloud and hybrid environments.
- Expertise in data modelling (conceptual, logical, physical) and data integration patterns.
- Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real‑time streaming platforms.
- Hands‑on experience with cloud data services (Azure preferred).
- Strong knowledge of SQL, data transformation frameworks, and metadata management.
- Familiarity with Dev Ops and Data Ops practices.
- Strong communication skills with the ability to engage both technical and business…
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