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Data Solutions Architect


Job Location:

Riyadh - Saudi Arabia

Monthly Salary: K 40 - 40
Experience Required: 5years
Posted: 21 August 2026 (19 hours ago)
Application Deadline: 18 November 2026
Vacancies: 1 Vacancy

Job Summary

On behalf of our client we are seeking an experienced Data Solutions Architect to join their team in Riyadh.

The role is responsible for designing and leading the implementation of an on-premises Data Lakehouse on Cloudera CDP 7.3.1 covering platform data integration security governance and serving architecture.

The position will define the target architecture establish Medallion and Lambda Architecture patterns and combine batch and streaming data paths with a unified serving layer.

The role will also architect a Rules Engine for business validations and transformations and establish a comprehensive Data Governance layer covering security lineage quality compliance and operational readiness.

Responsibilities:
  • Lead HLD and LLD for the Lakehouse covering HDFS/Ozone YARN Hive 3/Impala Spark Kafka/NiFi Ranger Atlas Knox KMS and HMS with HA.
  • Define storage and compute topology cluster sizing multi-environment architecture and network zones.
  • Design perimeter security using Knox and TLS.
  • Establish Bronze Silver and Gold standards including naming data contracts partitioning data quality checkpoints schema evolution retention and recovery patterns.
  • Align serving models for BI and analytics using Impala and Phoenix.
  • Design batch pipelines using Informatica BDM Spark and Hive.
  • Design speed and streaming paths using NiFi Kafka Hudi Kudu HBase and Phoenix.
  • Define the convergence and serving of batch and streaming outputs into governed data stores.
  • Architect a declarative Rules Engine covering validations standardization derivations survivorship consent/PII handling and SLA routing.
  • Ensure rules are metadata-driven versioned testable and CI/CD integrated.
  • Implement data governance using Ranger and Atlas including policies masking classifications lineage and glossary management.
  • Define data lifecycle retention legal holds PII/PCI/SOX requirements and audit trails.
  • Establish CI/CD for infrastructure schemas table evolution rules packs and ETL deployments.
  • Build SLA dashboards alerts runbooks and observability processes.
  • Architect disaster recovery and business continuity using BDR/Replication Manager and replication strategies.
  • Partner with Domain SMEs Platform Administrators Security and Compliance teams.
  • Lead Architecture Review Boards and mentor developers and data engineering teams.

Requirements
  • 10 years of experience in data architecture/engineering.
  • Bachelors or Masters in Computer Science Engineering or related field or equivalent experience.
  • 35 years of experience architecting on Cloudera CDH/CDP in production.
  • Proven experience delivering on-premises Lakehouse environments using Medallion and Lambda architectures.
  • Strong understanding of industry standards and best practices in Data Engineering.
  • Good understanding of Informatica DEI suite for framework/pattern design and pushdown to Spark/Hive.
  • Deep practical exposure to Apache Iceberg Apache Hudi Apache Kudu HBase Phoenix Hive 3 and Impala.
  • Strong SQL expertise including windowing partitioning MERGE/UPSERT and cost-based tuning.
  • Strong Impala/Phoenix performance tuning experience.
  • Experience with Kerberos TLS AD/LDAP Ranger policies Atlas lineage/glossary and SDX concepts.
  • Experience designing metadata-driven Rules Engines and data quality frameworks for both batch and streaming environments.
  • Solid Linux fundamentals.
  • Experience with Git and CI/CD.
  • Strong documentation and stakeholder communication skills.
  • Experience with Kafka patterns and CDC from RDBMS is preferred.
  • Familiarity with Ozone KMS/Key Trustee and air-gapped deployments is preferred.
  • SRE experience including SLOs error budgets RCA and disaster recovery exercises is preferred.
  • Cloudera CDP Informatica and Security certifications are a plus.
  • Regulatory experience in PII/PCI/SOX/GDPR environments is preferred.



  • Required Skills:

    Required Skills and Qualifications Proven experience in business analysis including requirements elicitation and documentation. Strong process modeling skills particularly with BPMN. Expertise in use case documentation and translating business needs into structured technical requirements. Excellent communication and stakeholder management skills with the ability to work cross-functionally. Solid understanding of software applications and their operational contexts. Demonstrated ability in designing validation frameworks and structured data templates. Familiarity with knowledge structuring techniques for AI and human collaboration. Experience in developing business logic complexity assessments and prioritization frameworks. Ability to work independently and as part of a multidisciplinary team. Preferred Qualifications Bachelors or Masters degree in Business Analysis Computer Science Information Systems or a related field. Experience working with AI-driven test generation or machine learning projects. Prior involvement in learning teams or knowledge management initiatives. Certification in Business Analysis such as CBAP PMI-PBA or equivalent is a plus.