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Data Solutions Architect

Tatweer Holding
Riyadh, KSA
Full-time
Senior · 10+ years experience
Onsite
Discovered 3 weeks ago
Cloudera CDP 7.3.1HDFSOzoneYARNHive 3Impala
Free

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Cloudera CDP 7.3.1HDFSOzone
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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.
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field or equivalent experience.
  • 3–5+ 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.

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