21 hours ago
Riyadh, Saudi ArabiaStaff+
Responsibilities
- Design the target platform, data, integration, and security architecture for an on-premises Cloudera CDP 7.3.1 Data Lakehouse.
- Establish Medallion architecture across Bronze, Silver, and Gold layers.
- Implement Lambda Architecture combining batch processing with Informatica, Spark, and Hive and streaming with Kafka, Hudi, Kudu, HBase, and Phoenix.
- Design a unified serving layer using Impala, Phoenix, and REST.
- Architect metadata-driven rules engines for business validations and transformations.
- Design data-quality frameworks supporting both batch and streaming workloads.
- Implement governance capabilities covering security, lineage, data quality, and compliance using Ranger, Atlas, Knox, KMS, and SDX.
- Define workload fit, partitioning, compaction, statistics, and performance-tuning approaches for the data platform.
- Document architecture and communicate with stakeholders.
Requirements
- 10+ years of experience in data architecture or engineering, including 3–5+ years architecting Cloudera CDH/CDP platforms in production.
- Proven delivery experience with on-premises Lakehouse implementations using Medallion and Lambda architectures.
- Strong knowledge of data-engineering industry standards and best practices.
- Experience with Informatica DEI framework and pattern design, including pushdown to Spark and Hive.
- Deep practical experience with Apache Iceberg, Apache Hudi, Apache Kudu, HBase, Phoenix, Hive 3, and Impala.
- Strong SQL expertise, including windowing, partitioning, MERGE/UPSERT, and cost-based tuning, plus Impala and Phoenix performance tuning.
- Experience with Kerberos, TLS, AD/LDAP, Ranger masking and row-level policies, Atlas lineage and glossaries, and SDX concepts.
- Solid Linux fundamentals, Git, documentation, and stakeholder communication skills.
- Preferred experience with Kafka exactly-once processing, schema registry, compaction, and CDC from relational databases.
- Preferred familiarity with Ozone, KMS/Key Trustee, air-gapped deployments, SLOs, error budgets, RCA, and chaos or drill exercises.
- Cloudera CDP, Informatica, CISSP, or CCSP certifications are a plus.
- Preferred experience working with PII, PCI, SOX, or GDPR-regulated environments.
Benefits
- Exposure to top global companies through work with Capgemini.
- Open access to digital learning platforms.
- Active employee networks promoting diversity, equity, and inclusion.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.