As the region’s leading local tech organization, we’re proud to say that we have been delivering for millions of people right across MENA for the past 18 years.
We were founded in Kuwait in 2004, and acquired by Delivery Hero (DHER) in 2015. This gives us a unique outlook - local knowledge with global expertise. It also allows us to innovate, create, and bring new technologies for the betterment of the MENA region, such as q-commerce, sustainable packaging, cloud kitchens, autonomous delivery vehicles, robots, and drones.
We deliver across 9 countries with more than 4,500+ employees! Our food delivery business works with over 27,000 brands and almost 50,000 branches.
Our q-commerce concept, talabat mart (121 Stores), now delivers groceries to customers in Bahrain, Iraq, Egypt, Jordan, Kuwait, Oman, Qatar, and the UAE in 30 minutes or less!
talabat is part of the Delivery Hero Group, the world’s leading local delivery platform operating in 70+ countries worldwide
Role Summary
As a data architect you are expected to have solid data management experience (Data modelling, Data Quality, ETL and Reporting) and use your experience to support day-to-day data science activities as well as coming up with initiatives that can enhance the work experience in data domain by leveraging data quality and standardizing modelling and ETL designs.
The role requires strong partnership with data scientists, data engineers, data analysts and reporting teams, by demonstrating strong interpersonal and communication skills as well as project and stakeholder management.
As a Data Architect, you will be responsible for two scopes of work:
Data Units Support
Act as a data management consultant for our data science teams:
Guide them to create data models and ETL pipelines that best serves their use case following best practices in terms of performance, quality and cost.
Review production deployment requests and advice changes to follow the set standards.
Support the team in tuning their data solutions.
Align priorities and plan weekly/monthly activities.
Horizontal Initiatives
Identify gaps and shortfalls and build end-to-end data solutions that fills the gaps in terms of:
Reducing data platform activities cost.
Enhancing data pipelines performance.
Build/Maintain data products that supports data quality and governance program
Build/Enhance data quality gates solutions.
Identify data quality and governance shortfalls, perform root cause analysis and advice a solution and monitoring mechanisms.
On a team rotational basis, act as a production support guardian for the entire data platform ETL pipelines on your turn.
Partner with our data engineering and data reporting teams and work together to better support the data units and align on horizontal initiatives across the data platform.
Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases.
Solid data modelling experience with 5-8 years of experience.
Experience building and optimizing data pipelines, architectures, and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
A good problem solver with a ‘figure it out’ growth mindset.
An excellent collaborator.
An excellent communicator.
A strong sense of ownership and accountability.
A ‘keep it simple’ approach to #makeithappen.
Bachelor's degree in engineering, computer science, technology, or similar fields.
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