Data Assurance Lead

Deeplight; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading AI consultancy in the UAE is seeking a Data Assurance Lead to design and implement a robust Data Assurance Framework. The ideal candidate will have 8+ years of experience in data engineering, strong expertise in data quality frameworks, and proficiency in AWS services. Responsibilities include implementing quality checks, defining data quality rules, and monitoring incidents. This position offers competitive salary, benefits, and opportunities for professional development within a rapidly growing AI environment.

Benefits

Competitive salary

Performance bonuses

Health insurance

Professional development support

Flexible working arrangements

Qualifications

• 8+ years in data engineering or quality roles, 3 years in leadership.
• Strong experience with data quality frameworks and tools.
• Hands-on experience with Lakehouse architectures.

Responsibilities

• Implement Soda Core quality checks across Medallion layers.
• Define and maintain a data quality rules library.
• Configure data quality alerts and thresholds.

Skills

Data quality frameworks

Lakehouse architectures

AWS services

Analytical skills

Stakeholder management

Tools

Soda Core

Jira

Job description

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. We are looking for a Data Assurance Lead to serve as the ultimate guardian of data trust across our clients' complex Lakehouse environments.

In this high‑impact consultancy role, you won't just monitor data; you will design, implement, and operationalize a robust Data Assurance Framework from the ground up. Utilizing Soda Core across the Medallion architecture (Bronze, Silver, Gold), you will define rigorous quality rules, automate data contracts, and integrate scorecards into OpenMetadata. As a consultant, you are much more than a technical expert; you are a strategic advocate for data reliability. You must possess the communication mastery to "sell" the value of data assurance to stakeholders, lead cross‑functional squads through aggressive migration targets, and embed a culture of quality within AWS Glue and Data Factory workflows. If you have 8+ years of experience—ideally within the Financial Services or Banking sectors—and thrive in fast‑paced, Agile environments where you can automate the complex and influence the senior‑most stakeholders, this is your next challenge.

Responsibilities

• Data Quality Framework Implementation:
  • Implement Soda Core data quality checks across all Medallion layers (Bronze, Silver, Gold).
  • Define and maintain a data quality rules library, covering: Schema validation (completeness, uniqueness, data types); Business rule validation (referential integrity, value ranges); Reconciliation checks (source‑to‑target, row counts, checksums); Freshness and timeliness SLAs as per data contracts.
  • Retrofit assurance checks across all live data flows.
  • Develop automated regression test suites for critical flows.
• Automation & Governance:
  • Implement automated data contracts using Soda and secure sign‑off with producers and consumers.
  • Create automated validation and reconciliation processes.
  • Establish data quality scorecards in OpenMetadata, integrated with Soda.
• Monitoring & Incident Management:
  • Configure data quality alerts and thresholds.
  • Define escalation procedures for data incidents.
  • Collaborate with operational teams for alerting and monitoring.
  • Analyze data issues, implement countermeasures, and optimize check performance.
• Collaboration & Training:
  • Work closely with Data Factory squads to embed data quality best practices.
  • Provide QA on Glue jobs to ensure compliance with the assurance framework.
  • Maintain comprehensive documentation and runbooks.
  • Train teams on data quality standards and tools.

Qualifications

• Strong experience with data quality frameworks and tools (Soda Core or similar).
• Hands‑on experience with Lakehouse architectures and Medallion design.
• Proficiency in AWS services (S3, Glue, Athena) and data validation techniques.
• Strong analytical and problem‑solving skills.
• 8+ years experience in data engineering or data quality roles, with at least 3 years in data assurance leadership.
• Experience in identifying ways to automate repetitive work.
• Experience dealing with data contracts, metadata management, and lineage tools (OpenMetadata preferred).
• Experience building automated validation and reconciliation pipelines.
• Experience communicating and stakeholder management.
• Experience leading cross‑functional initiatives and driving adoption.
• Experience working in a fast‑paced environment and delivering aggressive migration targets.
• Experience working with Jira and agile ways of working.

Benefits

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting‑edge AI projects
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company

As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with DeepLight. We’re looking for individuals who are not only world‑class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high‑level stakeholders. If you thrive on the challenge of presenting cutting‑edge solutions as much as you do on building them, you will fit right in.

At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please let us know. This information will be kept strictly confidential and will not impact hiring decisions.