Lead Data Engineer

Datamatics Technologies LLC; Lahore; On-site; PKR 3,000,000 - 5,200,000; Full time

Job summary

Datamatics Technologies LLC in Lahore seeks a Lead Data Engineer to design, develop, and manage scalable data platforms and pipelines that support enterprise analytics and reporting. The ideal candidate has 7-8 years of data engineering experience and hands-on expertise with Informatica IDMC, Microsoft Fabric with Purview, or Databricks, plus SQL and data warehousing skills.

Responsibilities include governance, security, and collaboration with stakeholders to ensure quality data for decision

Qualifications

• 7-8 years of experience in data engineering.

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

Data governance

Data quality

Cloud data platforms

Leadership

Stakeholder collaboration

Tools

Informatica IDMC

Microsoft Fabric with Purview

Databricks

Azure Data Factory

Snowflake

CI/CD

Job description

Position: Lead Data Engineer
Experience:7-8 Years

Job Summary

We are looking for a Lead Data Engineer to design, develop, and manage scalable data platforms and data pipelines that support enterprise analytics and reporting requirements. The ideal candidate should possess strong data engineering expertise and hands‑on experience with at least one of the following technologies: Informatica IDMC, Microsoft Fabric with Purview, or Databricks.

Must Have

• 7-8years 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 at least one of the following technologies: Informatica IDMC, Microsoft Fabric with Purview, or Databricks.
• Knowledge of Data Governance and Data Quality principles.

Good to Have

• Experience with Python, PySpark, or Spark.
• Exposure to Azure Data Factory, Snowflake, or similar cloud technologies.
• Understanding of CI/CD, DataOps, and Agile methodologies.

Key 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.

Preferred Certifications

• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Data Engineer Associate/Professional
• Informatica IDMC Certification