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Salary
≈ $31k – $72k per year (Estimated)
Location
Hybrid (Ukraine)
Seniority
Staff
Employment
Full-Time

First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Get scalable solutions from a trusted IT software development company. Team launch in 5 days 80+ engineers clients in 15 countries.

ZentixSoft is looking for a Hands-on Technical Lead / Data Architect! 🚀
Format: Full-Time Outstaffing, 13-week engagement (First 3 weeks 100% on-site in Riyadh, followed by a hybrid schedule) with long-term extension options.
Location: Riyadh, Saudi Arabia (Open to candidates in KSA or willing to relocate).

🧩 Responsibilities:
Architecture & Hands-On Engineering: Design HLD/LLD for Lakehouse architectures (raw, standardized, curated layers), Customer 360 target data models, and source-to-target mappings from Oracle Data Warehouses and Data Lakes while writing production SQL and Python code.
GCP Infrastructure & Pipeline Ownership: Build and review pipelines using Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Run/GKE, Airflow, dbt).
Identity Resolution & Quality: Implement deterministic/probabilistic matching rules, data quality frameworks, reconciliation, and lineage metadata.
BI & Enterprise Integration: Build Power BI semantic models with Row-Level/Object-Level security, embed reporting into Dynamics 365, and set up AI-ready foundations (Vertex AI / BigQuery ML).
Security & Compliance: Enforce security by design, encryption, audit logging, and KSA PDPL data residency standards.

🎓 Our Perfect Match (Requirements):
Data Engineering & Architecture: 10+ years in Data Engineering/Architecture, with 3+ years of hands-on experience on Google Cloud Platform (GCP).
Production Tooling: Proven production experience with BigQuery, Airflow, dbt, SQL, and Python.
Domain Expertise: Strong background in Insurance or Banking data domains (policies, claims, customers, providers).
Team Leadership: Experience leading technical teams of 6–8 engineers while maintaining hands-on contribution.
On-Site Presence: Available for the first 3 weeks 100% on-site in Riyadh, transitioning to a hybrid setup afterwards.

➕ Nice to Have:
Experience with restricted-data zones (e.g., medical data regulations).
Hands-on knowledge of BigQuery ML, Gemini, or Vertex AI.

📍 Project Details:
⏳ Duration: 13 weeks + long-term extension.
📍 Location: Hybrid Riyadh (First 3 weeks full-time on-site).

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