Head: Data Engineering
ZAR 660K-750K (estimate) Executive-level Full Time
Tasks
- Build batch and streaming data pipelines
- Collaborate across data engineering cloud and security teams
- Define enterprise data platform operating model
- Design data platform architectures
- Drive cloud native data architecture
- Ensure observability and lifecycle management
- Ensure privacy records management and audit readiness
- Implement data contracts and lineage
- Implement ingestion and transformation frameworks
- Improve data quality through DataOps
- Influence executive decision making with evidence
- Lead data engineering teams
- Set platform standards and patterns
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | Apache Airflow | Apache Hudi | Apache Iceberg | Apache Spark | Avro | Azure Data | Azure Data Factory | CDC | DBT | Data Catalog | Data Contracts | Data Factory | Data Management | Data Quality | Data Vault | Data Vault 2.0 | Data masking | DataOps | Debezium | Delta Lake | Dimensional Modeling | Disaster Recovery | Encryption | Exactly once | Exactly-once processing | FinOps | GRPC | GitOps | IAM | Idempotent Pipelines | Kafka | Kinesis | Kubernetes | Logs | MDM | Master Data | Master Data Management | Metadata Management | Metrics | Observability | Parquet | Policy-as-Code | Python | RBAC | RDM | REST | SQL | SRE | Scala | Schema Registry | Semantic layer | Streaming | Terraform | Tokenization | Traces | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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