Tech Lead – Data Engineering & Analytics

Reposted 7 Days Ago
Be an Early Applicant
Hiring Remotely in Federal Capital Area, PAK
Remote
Senior level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Lead the design and optimization of enterprise-scale data platforms, manage data architecture, and oversee data integration and analytics solutions.
Summary Generated by Built In
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 & ExperienceTechnical 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

Skills Required

  • Experience over CVM implementation for Telco
  • Strong expertise in Teradata, Informatica, Apache Spark
  • Hands-on experience with Data modeling tools
  • Proven experience leading large-scale data programs
  • Bachelor's degree in Information Technology or related field

Datamatics Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.

  • Flexible Benefits Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.

Datamatics Technologies Insights

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The Company
Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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