Data Architect

Qatar Airways Group; Doha; On-site; QAR 300,000 - 520,000; Full time

Job summary

Qatar Airways Group seeks a seasoned Data Architect to architect, design and implement cloud-based big data analytics solutions. You will create an enterprise self-serve data platform, build reference architectures, and drive accelerators for a data product team, ensuring security, governance and performance.

Responsibilities include shaping the technical blueprint, collaborating with other data architects, and translating business needs into scalable data models, warehouses and BI solutions

Qualifications

• Extensive hands-on experience with cloud data solutions and BI architectures.
• Proven ability to design scalable, secure and compliant data platforms.
• Experience building enterprise data warehouses and data lakes.
• Strong knowledge of Kimball, Inmon or data vault modelling approaches.
• Ability to produce client-ready architecture artefacts and run workshops.
• Proficiency in Python and SQL for data engineering tasks.
• Familiarity with automation and IaC tooling (Terraform, CloudFormation).

Responsibilities

• Architect, design and implement cloud-based big data analytics solutions.
• Create and maintain an enterprise self-serve cloud data platform.
• Develop reference architectures and accelerators for the data product team.
• Ensure data security, governance and performance across platforms.
• Lead data ingestion, orchestration, storage and transformation pipelines.
• Translate business requirements into data products and BI artefacts.
• Collaborate with data architects to standardize tools and technologies.
• Maintain metadata and monitor platform services and solutions.

Skills

Big Data

Data Architecture

Data Modeling

Data Warehousing

ETL concepts

Python

SQL

Terraform

Cloud Architecture

Automation tools

Education

Bachelor’s Degree or Equivalent in IT/Engineering

Tools

Terraform

CloudFormation

Job description

This role is expected to Architect, design and implement cloud based big data analytics solutions which are dynamic, scalable, fault tolerant, secure and reliable. Responsible for creating and maintaining an enterprise self-service cloud data platform and architecture, involving building reference architectures, technical blueprints and accelerators for data product team. The role is pivotal in translating business requirements into effective data solutions encompassing both data engineering and business intelligence, developing data models, defining data architecture, and ensuring data integrity, security, scalability and performance aligned with specific project or program needs

Your duties would include:

Ensure to create and align a technical blueprint for cloud data analytics strategy with organization's technology roadmap. Additionally, ensure that the work program adheres to the defined blueprint.

Work closely with other data architects to foster collaboration, create synergies in solutions and establish standardized tools and technologies.

Design and develop robust, scalable and high-performance self-serve data platform that empowers data product engineers to build data products as well as data analysts and business users to access and analyse data without the need for extensive technical expertise.

Create and maintain reference and solution architecture blueprints.

Ensure data security, compliance and governance best practices are implemented across the data platform.

Select and implement appropriate technologies for the self-serve data platform, including tools for data ingestion, orchestration, storage & transformation.

Leveraging strong business acumen, translate business requirements to create solution artefacts to build data solutions.

Select appropriate technologies and tools offered by organisations' self-serve data platform for building the data solutions that are secure and cost effective.

Generate specifications for BI architecture and other design artefacts that illustrate the approach and impact of proposed solutions.

Facilitate technical and business sessions required to align the solution architecture, encompassing both data engineering and business intelligence, with business and technology objectives throughout the development life cycle.

Design and develop enterprise-level big data models to effectively organize and manage massive datasets.

Design, develop and maintain scalable big data architectures and enterprise models for organisation's big data warehouse, ensuring optimal performance and manage massive datasets.

Assess existing data architectures, identify areas for improvement, and provide strategic recommendations.

Implement metadata management practices to catalogue and track data assets across the organization.

Monitor, analyse and optimize data platform services and data solutions.

Stay up-to-date on the latest cloud data platform technologies.

Maintain knowledge of emerging technologies and architectures and lead proof of concepts.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.

Together, everything is possible.

Qualification

We are looking for a passionate and experienced professional to join our IT - team. The ideal candidate should possess the following:

Bachelor’s Degree or Equivalent with Minimum 6 years of job-related experience

6+ years of experience Big Data, Data Warehouse, Data Analytics projects, with at least 3 years in Data Architect role

Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies

Hands-on & in-depth experience of cloud solutions from a BI Architecture/Data Engineer perspective

Hands-on experience in developing and implementing large-scale Data Warehouses, Business Intelligence solutions, including Data Lakes/Data Hubs

Hands-on experience with productionising cloud data solutions with administration, configuration management, monitoring, debugging, and performance tuning

Data modelling and solutioning skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as Kimball, Inmon, data vault etc.

Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops

Strong understanding of cloud computing principles and architecture

Proficiency in data engineering concepts, ETL processes, data warehousing, and data lakes

Experience designing, developing, and implementing data ingestion pipelines, data processing pipelines and data storage solutions

Proficiency in programming languages such as Python, SQL, and experience with scripting

In-depth knowledge of big data modelling methodologies, including dimensional, star schema and snowflake models

Expertise in infrastructure as code (Terraform, Cloud Formation, etc.) and automation tools

Excellent problem-solving skills and the ability to troubleshoot complex data issues

Preferred

Knowledge of data mesh architecture

Knowledge of agile/lean development methodologies

Airline industry experience though not essential would be an added advantage

About Qatar Airways Group:

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So, whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries and be part of a truly global community.