Data Architect

CME

Employer Active

Posted on 18 Sep

Experience

7 - 12 Years

Job Location

Cairo - Egypt

Education

Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Key Responsibilities
Data Architecture & Strategy
  • Define and implement end-to-end data architecture strategies for mobile applications.
  • Ensure data models and pipelines are optimized for mobile-specific challenges, including limited bandwidth, offline-first experiences, and real-time synchronization.
  • Establish governance, security, and compliance frameworks for mobile data.
Data Engineering & Integration
  • Design and oversee scalable data ingestion, transformation, and storage pipelines from mobile applications.
  • Integrate mobile telemetry, usage analytics, crash reports, and event tracking into centralized data platforms.
  • Implement best practices for schema design, metadata management, and master data management.
Mobile Data & Analytics Enablement
  • Collaborate with mobile developers to embed efficient data collection SDKs and APIs (Firebase, Segment, Mixpanel, Amplitude, etc.).
  • Ensure seamless flow of event and user behavior data into BI tools and machine learning pipelines.
  • Partner with data science teams to enable real-time personalization and recommendation engines.
Infrastructure & Performance
  • Architect and optimize data warehouses, data lakes, and streaming solutions (Snowflake, BigQuery, Redshift, Databricks, Kafka, etc.).
  • Enable scalable real-time analytics for mobile app performance and engagement.
  • Balance cost, performance, and reliability in cloud-native data architectures.
Collaboration & Leadership
  • Serve as the data architecture subject matter expert for mobile initiatives.
  • Mentor engineers and analysts in data architecture principles and best practices.
  • Work cross-functionally with engineering, product, and compliance teams to align on data strategy.

Requirements
  • Education & Experience
    • Bachelor s or Master s degree in Computer Science, Data Engineering, or related field.
    • 7+ years of experience in data architecture, data engineering, or related roles.
    • Proven track record designing and scaling data solutions for mobile applications.
  • Technical Skills
    • Strong knowledge of data modeling, database systems (SQL & NoSQL), and distributed systems.
    • Expertise in cloud data platforms (AWS/GCP/Azure) and data warehousing solutions.
    • Experience with mobile analytics platforms (Firebase, Segment, Mixpanel, Amplitude).
    • Proficiency in streaming and event-driven architectures (Kafka, Kinesis, Pub/Sub).
    • Strong background in ETL/ELT orchestration (Airflow, dbt, Dagster).
    • Knowledge of data privacy and compliance frameworks (GDPR, CCPA).
  • Soft Skills
    • Excellent communication skills and ability to bridge technical and business needs.
    • Strong problem-solving and analytical mindset.
    • Leadership presence and ability to drive consensus across stakeholders.
Nice-to-Have
  • Experience with AI/ML pipelines for mobile personalization.
  • Background in edge data processing or federated learning for mobile.
  • Knowledge of mobile security practices in data flows (encryption, secure storage).
  • Familiarity with real-time A/B testing and experimentation platforms for mobile.

Desired Candidate Profile

  • Education & Experience
    • Bachelor s or Master s degree in Computer Science, Data Engineering, or related field.
    • 7+ years of experience in data architecture, data engineering, or related roles.
    • Proven track record designing and scaling data solutions for mobile applications.
  • Technical Skills
    • Strong knowledge of data modeling, database systems (SQL & NoSQL), and distributed systems.
    • Expertise in cloud data platforms (AWS/GCP/Azure) and data warehousing solutions.
    • Experience with mobile analytics platforms (Firebase, Segment, Mixpanel, Amplitude).
    • Proficiency in streaming and event-driven architectures (Kafka, Kinesis, Pub/Sub).
    • Strong background in ETL/ELT orchestration (Airflow, dbt, Dagster).
    • Knowledge of data privacy and compliance frameworks (GDPR, CCPA).
  • Soft Skills
    • Excellent communication skills and ability to bridge technical and business needs.
    • Strong problem-solving and analytical mindset.
    • Leadership presence and ability to drive consensus across stakeholders.

Company Industry

Department / Functional Area

Keywords

  • Data Architect

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