Lead Data Engineer - Architect Data Pipelines & Platforms

Datamatics Technologies; Dubai; On-site; AED 446,000 - 781,000; Full time

Job summary

Datamatics Technologies in Dubai is seeking a Lead Data Engineer to design, develop, and manage scalable data platforms and data pipelines to support enterprise analytics and reporting. The role requires hands-on expertise with Informatica IDMC, Microsoft Fabric with Purview, or Databricks.

The ideal candidate will have 7-8 years in data engineering, strong SQL and data warehousing skills, and experience with cloud-based data platforms, data lakes, and governance principles.

Qualifications

• 7-8 years of experience in Data Engineering.
• Strong experience in ETL/ELT development and data integration.
• Proficiency in SQL and data warehousing concepts.
• Experience with cloud-based data platforms, data lakes, and data warehouses.
• Hands-on experience with Informatica IDMC, Microsoft Fabric with Purview, or Databricks.
• Knowledge of Data Governance and Data Quality principles.

Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions.
• Lead data engineering initiatives and provide technical guidance to team members.
• Optimize data processing, storage, and performance.
• Collaborate with business and technical stakeholders to define data requirements.
• Ensure implementation of data governance, security, and quality standards.

Skills

ETL/ELT development

SQL

Data warehousing concepts

Cloud data platforms

Data Governance & Data Quality

Tools

Informatica IDMC

Microsoft Fabric with Purview

Databricks

Job description

Datamatics Technologies in Dubai is seeking a Lead Data Engineer to design, develop, and manage scalable data platforms and data pipelines to support enterprise analytics and reporting. The role requires hands-on expertise with Informatica IDMC, Microsoft Fabric with Purview, or Databricks.

The ideal candidate will have 7-8 years in data engineering, strong SQL and data warehousing skills, and experience with cloud-based data platforms, data lakes, and governance principles.