Find a jobRecruiters

Technical Lead / Data Architect – GCP, BigQuery & Customer 360

Exclusive opportunity

Onsite

Technical Lead / Data Architect – GCP, BigQuery & Customer 360

Eplanet Global

Technical Lead / Data Architect – GCP, BigQuery & Customer 360

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonGoogle BigQueryData AnalysisdbtGoogle AnalyticsApache AirflowCompliancePower BI

16 days ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent, Freelance / Contract, Temporary

Location:

Riyadh Saudi Arabia

Work mode:

Onsite

Published on:

13 October 2026

What they need


Please apply only if you meet the mandatory technical requirements and can satisfy the Riyadh on-site requirements.

Job Title: Technical Lead / Data Architect – GCP, BigQuery & Customer 360

Location: Riyadh, Saudi Arabia
Job Type: Contract – 13 Weeks
Work Model: Hybrid (First 3 Weeks Fully On-Site in Riyadh)
Compensation: SAR per hour, based on experience
Start Date: Immediate / Urgent Requirement

Job Overview

We are urgently looking for an experienced Technical Lead / Data Architect for a 13-week client project in Riyadh, Saudi Arabia.

The ideal candidate will have 10+ years of experience in data engineering and data architecture, including at least 3 years of hands-on experience with Google Cloud Platform (GCP). The role requires strong expertise in modern data platforms, data pipelines, analytics architecture, and Customer 360 or lakehouse solutions.

This opportunity is particularly suitable for experienced professionals working with technology companies, software firms, data engineering consultancies, or IT services providers that can deploy a qualified resource to the client engagement.

Important: The selected candidate must work fully on-site in Riyadh for the first 3 weeks, followed by a hybrid working arrangement as agreed with the client.

Key Responsibilities

  • Lead technical design and architecture for data engineering, analytics, and Customer 360 initiatives.
  • Design and implement scalable data pipelines and modern cloud-based data platforms using GCP.
  • Develop and optimize data solutions using BigQuery, Dataflow, Airflow, dbt, Python, and SQL.
  • Define data architecture, integration patterns, transformation processes, and data quality standards.
  • Support Customer 360 platforms, lakehouse architecture, and unified customer data initiatives.
  • Collaborate with business stakeholders, data engineers, analytics teams, and project leadership.
  • Provide technical direction, code/design reviews, and guidance to data engineering teams.
  • Ensure data pipelines meet performance, reliability, scalability, security, and governance requirements.
  • Support data validation, testing, UAT, production readiness, and go-live activities.
  • Apply appropriate data governance and security practices, particularly in regulated environments.

Mandatory Requirements

  • Minimum 10+ years of professional experience in data engineering, data architecture, or related technical roles.
  • At least 3+ years of hands-on Google Cloud Platform (GCP) experience.
  • Strong practical experience with:
  • Google BigQuery
  • Google Cloud Dataflow
  • Apache Airflow
  • dbt (data build tool)
  • Python
  • SQL
  • Experience designing and implementing data pipelines and enterprise data architectures.
  • Experience with Customer 360, unified customer data platforms, or lakehouse solutions.
  • Ability to lead technical discussions, make architecture decisions, and guide engineering teams.
  • Availability for the first 3 weeks fully on-site in Riyadh, followed by a hybrid arrangement.
  • Immediate or short-notice availability is highly preferred.

Preferred Experience

  • Experience with Microsoft Power BI and Dynamics 365.
  • Experience in banking, financial services, insurance, or other regulated industries.
  • Knowledge of data governance, data quality, privacy, security, and compliance requirements.
  • Experience integrating multiple enterprise data sources into centralized analytics platforms.
  • Experience delivering enterprise-scale data transformation and modernization projects.

Deployment Requirements

We welcome applications from experienced professionals and technology companies, software companies, IT service providers, and consulting firms able to deploy suitable resources from their existing teams.

Candidates must:

  • Already be based in Saudi Arabia or be legally eligible and able to travel to and work physically in Riyadh as required.
  • Be available for full-time project engagement for 13 weeks.
  • Commit to being on-site in Riyadh during the first 3 weeks.
  • Be able to follow the client's hybrid work requirements after the initial on-site period.
  • Have the appropriate authorization to work or undertake the assignment in Saudi Arabia.

Compensation

Hourly compensation in SAR, depending on experience, technical expertise, and deployment arrangements.

How to Apply

also share your resume at [email protected]

Application Question(s):

  • are you based in Riyadh and how soon you can join ?
  • what is you expected hourly rate in USD ?
  • Have you gone through JD before Applying ?
  • where do you rate your English proficiency ?

Work Location: In person

Other offers great for you!

These companies are also looking for great profiles

skiils

Data Engineer Big Data (BigQuery / dbt / Airflow) H/F

40 000 € - 70 000 € par an

Permanent contract

Paris, France

Hybrid

Skills

Google Cloud PlatformSQL QueriesKafkaGoogle BigQueryGitdbtApache Airflowpub/subcloud composerCI/CD

2 months ago

Quick apply

Salutech

Senior Data Scientist / AI Engineer – GenAI & RAG

Freelance

Tremblay-en-France, France

Hybrid

Skills

Google Cloud PlatformPythonGoogle BigQueryGitRetrieval-Augmented Generation (RAG)Vertex AI

8 hours ago

Quick apply

Veilos

Tech Lead Big Data & MLOps (Cloudera, Spark) - Banque

550

Freelance

Paris, France

Hybrid

Skills

Data EngineeringApache AirflowApache SparkHadoopTech Lead

7 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools