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Data Solution Architect

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Duncan & Ross
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 300000 - 400000 SAR Yearly SAR 300000.00 400000.00 YEAR
Job Description & How to Apply Below
Position: DATA SOLUTION ARCHITECT

About the job DATA SOLUTION ARCHITECT

We are seeking an experienced Data Solution Architect to design and lead the implementation of an on‑premises Data Lakehouse on Cloudera CDP 7.3.1. The role involves defining architecture, implementing Medallion (Bronze/Silver/Gold) and Lambda architectures, establishing a metadata‑driven Rules Engine, and delivering robust Data Governance, Security, and Compliance frameworks.

Key Responsibilities
  • Architect and implement scalable Lakehouse solutions on Cloudera CDP 7.3.1.
  • Design and govern Medallion and Lambda architectures for batch and streaming data processing.
  • Define standards for data modeling, ingestion, schema evolution, partitioning, and data quality.
  • Lead implementation of Iceberg, Hudi, Kudu, HBase/Phoenix, Hive, Impala, Spark, Kafka, and NiFi.
  • Architect and deliver a metadata‑driven Rules Engine supporting validation, transformation, and governance.
  • Implement enterprise security and governance using Ranger, Atlas, Knox, KMS, Kerberos, TLS, and AD/LDAP.
  • Establish CI/CD, observability, DR/BCP, performance optimization, and operational best practices.
  • Collaborate with business, security, platform, and engineering teams; mentor developers and lead architecture reviews.
Required Qualifications
  • 10+ years in Data Engineering/Architecture, including 3–5+ years on Cloudera CDH/CDP.
  • Proven experience delivering Lakehouse, Medallion, and Lambda architectures.
  • Strong expertise in Iceberg, Hudi, Kudu, HBase/Phoenix, Hive 3, Impala, Spark, Kafka, and Informatica BDM.
  • Hands‑on experience with Ranger, Atlas, Kerberos, TLS, AD/LDAP, and SDX.
  • Experience designing metadata‑driven Rules Engines and Data Quality frameworks.
  • Strong SQL, performance tuning, Linux, Git, CI/CD, and stakeholder management skills.
Preferred Qualifications
  • Experience with Kafka CDC, Schema Registry, Ozone, KMS, and air‑gapped environments.
  • Knowledge of SRE practices, DR/BCP, and regulatory compliance (PII, PCI, SOX, GDPR).
  • Relevant Cloudera, Informatica, or Security certifications.
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