Data Architect

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Client of Salt
Abu Dhabi
AED 120,000 - 180,000
Be among the first applicants.
2 days ago
Job description

My client is a leading IT consultancy firm that partners with clients to solve complex business challenges through technology. Their mission is to drive innovation and data-driven decision-making. Currently seeking an experienced Azure Data Architect to join our growing Data & AI practice and help design and implement scalable, secure, and high-performance data solutions on Microsoft Azure.

Key Responsibilities:

  • Design, develop, and implement end-to-end Azure data architectures for enterprise clients.
  • Lead client engagements to understand business requirements and translate them into technical solutions.
  • Define data governance, data quality, security, and compliance standards within Azure environments.
  • Collaborate with data engineers, analysts, and cloud engineers to ensure solutions are aligned and scalable.
  • Optimize data flows and pipelines for performance and cost efficiency.
  • Stay updated with the latest Azure features and recommend improvements for client environments.
  • Support proposal development, client presentations, and technical mentoring within the team.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • 8+ years of experience in data architecture, with 3+ years focused on Azure.
  • Experience with modern data architecture patterns including data lakes, lakehouses, and medallion architecture.
  • Solid understanding of ETL/ELT processes, data modeling, and performance tuning.
  • Familiarity with infrastructure as code (e.g., ARM templates, Terraform, Bicep) and CI/CD in data engineering projects.
  • Proficiency in SQL, Python, and/or Spark.
  • Strong communication and stakeholder management skills.
  • Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert) are highly desirable.

Preferred Qualifications:

  • Experience working in consultancy or client-facing environments.
  • Familiarity with industry verticals like finance, healthcare, or retail.
  • Exposure to Power BI or other BI tools.
  • Knowledge of data privacy regulations (GDPR, HIPAA, etc.)
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