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Tech Lead – Data Engineering & Analytics

Islamabad, Federal Teritory, PakistanPosted 2 weeks ago
onsite

Job Description

Job Description (JD)

Role: Data Architect / Tech Lead – Data Engineering & Analytics

Location: Onsite - Riyadh
Must Have: Experience over CVM implementation for Telco
Experience: 8–12+ Years
Industry Preference: Telecommunications 


About the Role

We are seeking a highly experienced Data Architect / Tech Lead to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.


Key Responsibilities

  • Lead end-to-end data architecture design for enterprise data platforms and analytics solutions
  • Design and implement scalable data warehouses, data lakes, and ETL pipelines
  • Drive data modeling (logical & physical) and semantic layer design
  • Oversee data integration across multiple systems using tools like Informatica, DataStage, and Spark
  • Lead large-scale initiatives such as system migrations, platform modernization, and architecture revamps
  • Ensure data quality, governance, and compliance across data assets
  • Build and optimize high-performance data pipelines and reporting systems
  • Enable self-service BI and analytics using tools like Tableau, MicroStrategy, and QlikView
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Lead and mentor cross-functional teams including data engineers, analysts, and BI developers
  • Drive automation in reporting and data operations
  • Manage performance tuning and optimization of databases and queries

Required Skills & Experience

Technical Skills

  • Strong expertise in:
    • Teradata, Informatica, Apache Spark, Cloudera (Big Data ecosystem)
    • ETL/ELT design and development
    • SQL, Python, Shell Scripting
  • Hands-on experience with:
    • Data modeling tools (Erwin or equivalent)
    • Data warehouse architecture
    • Semantic layer design
  • Database experience:
    • Teradata, Oracle, MySQL, PostgreSQL
  • BI & Reporting:
    • Tableau, MicroStrategy, QlikView
  • Familiarity with:
    • GitHub, C#, DataOps frameworks

Functional Skills

  • Data Architecture & Solution Design
  • Data Integration & Pipeline Development
  • Reporting & Dashboard Automation
  • Performance Optimization
  • Data Governance & Quality Assurance
  • Business & Data Analysis

Leadership & Soft Skills

  • Proven experience leading large-scale data programs
  • Strong stakeholder management and communication skills
  • Ability to manage cross-functional and distributed teams
  • Experience in project delivery and technical governance

Education

  • Bachelor’s degree in Information Technology / Computer Science / Engineering or related field

Preferred Experience

  • Telecom domain experience (highly preferred)
  • Experience in large transformation programs (e.g., system revamps, migrations)
  • Exposure to product ownership or project management roles

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Tech Lead – Data Engineering & Analytics at datamaticstechnologies | Renata