# Data Architect — First Abu Dhabi Bank (FAB)

Canonical: https://jobxdubai.com/jobs/li-4430443699-data-architect
Location: Abu Dhabi, UAE
Type: full_time · Level: senior
Monthly salary: AED 35,000 to 70,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-07-09
Apply: https://www.linkedin.com/jobs/view/data-architect-at-first-abu-dhabi-bank-fab-4430443699?_l=en

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## Description

Responsibilities

• Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources

• Process and manage complex datasets to support business and analytical needs

• Conduct regular testing and enhancement of data pipelines to improve efficiency

• Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity

• Collaborate with software engineers and AI/ ML engineers to ensure seamless data accessibility

• Implement best practices for data governance, security, and quality assurance

• Document data architectures, lineage, and metadata to ensure transparency and reproducibility

Qualifications

• 5+ years of experience in data engineering, ETL development, or data warehousing

• Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations

• Experience with big data architectures and optimizing data pipelines

• Deep familiarity with SQL for data manipulation and querying

• Strong coding skills in Python, and at least one other language (Scala/Java)

• Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)

• Strong analytical skills for working with large-scale unstructured datasets

• Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders

• Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required

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## Requirements

5+ years of experience in data engineering, ETL development, or data warehousing; Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations; Experience with big data architectures and optimizing data pipelines; Deep familiarity with SQL for data manipulation and querying; Strong coding skills in Python, and at least one other language (Scala/Java); Hands-on experience with cloud-based data platforms (Azure/AWS/GCP); Strong analytical skills for working with large-scale unstructured datasets; Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders; Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required

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