Nokia's Cloud and Network Services (CNS) is building out products and capabilities for their Autonomous Networks vision, creating a data fabric to feed intelligent decision-making for autonomous operations. The Data Engineering Architect for Autonomous Networks will be responsible for the data architecture and fabric services for the Autonomous Network Fabric (ANF), a petabyte-scale service.
Requirements
- Deep expertise in data lakehouse tools (e.g., Iceberg) and cloud-native storage systems.
- Deep understanding of cloud ecosystems (GCP, Azure, AWS) and CNCF technologies.
- Proven hands-on experience with Neo4j or similar graph databases and Cypher query language.
- Solid working knowledge of ClickHouse, PostgreSQL, BigQuery, RedShift etc. for analytical and operational querying.
- Strong programming skills in Python, Scala, or Java.
- Proficiency with Kubernetes, Helm, CI/CD pipelines, and GitOps tooling (e.g., ArgoCD, Flux).
- Understanding of data governance, schema evolution, version control, and secure data access models.
Responsibilities
- Design and implement robust, scalable multi-tenant Lakehouse infrastructure supporting structured and unstructured and graph-based data.
- Implement data lifecycle strategies for versioning, schema evolution, compaction, retention, and governance across multi-tenant datasets across the combination of data mesh and data fabric architecture supporting deployments across on-prem, SaaS and OnPrem and hybrid Cloud environments.
- Storage optimization: use S3-compatible storage, Ceph or HDFS for managing large datasets in Parquet or Avro formats with intelligent partitioning and indexing strategies.
- Implement and manage database replication, clustering, failover strategies, backup scheduling, and disaster recovery plans across selected data Lakehouse technologies such as BigQuery, Clickhouse, PostGre, Neo4j, Redshift etc.
- Performance tuning and capacity planning: monitor workload patterns, optimize queries, index strategies, and storage utilization for current and projected data growth.
- Design and implement reporting services to enable API based integrations, dashboards in UI, and adhoc analytics.
- Enforce security practices including data encryption, access control, GDPR compliance and audit logging.
Other
- 4-6 years of experience in data engineering, distributed systems, or cloud-native data platforms. Experience on a SaaS product and building products for on-prem delivery.
- Experience with database replication, clustering, failover, backup/recovery processes, and high availability, and multi-tenancy configurations.
- Solid knowledge of API design, versioning, and backward compatibility principles.
- Familiarity with observability tooling (Grafana, Prometheus, OpenTelemetry etc.), GitOps (e.g. ArgoCD), and Kubernetes Operators/CrossPlane.
- Deep understanding of observability frameworks, SRE principles, and SLA/SLO enforcement.
