Senior Data Architect

Role Overview

Data Architecture

• Design end-to-end data architectures for analytics and AI, including ingestion, storage, processing, serving, and governance.
• Define data models, lakehouse layering, table formats, and data lifecycle and retention strategies.
• Make technology choices across batch or streaming, lake or warehouse, and on-premises or hybrid approaches.
• Set architecture standards, patterns, and data contracts for delivery teams.

Cloudera Platform and Optimization

• Architect and size Cloudera Data Platform environments, including CDP Private Cloud Base and Data Services, topology, capacity, and high availability.
• Optimize Spark, Hive, and Impala workloads; tune YARN, file layout, partitioning, and compaction; address mixed-workload contention.
• Improve ingestion and processing pipeline stability and speed, control latency and SLAs, plan capacity, and decide when to tune, re-architect, or scale.
• Guide security and governance design, including Kerberos, Ranger, and Atlas, and provide direction on upgrades and migrations.

Presales and Practice Building

• Write architecture and Cloudera proposal sections, size licenses and infrastructure, and estimate effort.
• Run platform health checks and performance assessments, present to customer stakeholders, and act as technical counterpart to Cloudera.
• Mentor engineers and administrators; create reference architectures, tuning playbooks, and sizing tools.

Requirements

• 10+ years in data engineering and architecture, with a record of designing enterprise data platforms.
• Strong hands-on production experience with Cloudera CDH and/or CDP and proven workload optimization results.
• Deep knowledge of Spark, Hive, Impala, and YARN; solid data modeling and lakehouse or warehouse design fundamentals.
• Experience with both batch and streaming ingestion, such as Kafka, NiFi, or CDC.
• Ability to lead technically and explain trade-offs to customers; professional-level English.
• Iceberg, Trino, exposure to other data platforms, and AI/ML-consumption platform design are advantages.
• Arabic is an advantage; Cloudera certifications are preferred.

First-Year Success Measures

Culture and Code of Conduct