Sr. Data Architect

Company Description

WHO ARE WE?

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

Job Description

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.
 

What’s On Your Plate?

As a Data Architect, you will be responsible for two scopes of work:

1. 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.

2. 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.

Qualifications

What Did We Order?

• 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, data warehouse 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.