Solutions Architect

Datascience

1. Architecture & Platform Design
Design end-to-end architecture for SAS 9.4 and SAS Viya deployments (on-prem, hybrid, multi-cloud).
Define infrastructure sizing, topology, and environment strategy (Dev / Test / Prod).
Architect highly available and fault-tolerant SAS platforms.
Establish disaster recovery (DR) and business continuity models.
Develop reference architectures and deployment blueprints.
2. SAS Viya Cloud-Native Implementation
Architect and deploy SAS Viya on Kubernetes / OpenShift.
Design container strategies, namespace isolation, and workload segmentation.
Implement autoscaling, resource quotas, and pod optimization.
Manage Viya microservices architecture and service mesh integration.
Oversee Helm / Operators / deployment pipelines.
3. Containerization & Orchestration
Design SAS container images and registry strategy.
Optimize pod scheduling, node affinity, and taints/tolerations.
Implement persistent storage classes.
Configure ingress controllers and load balancing.
Ensure platform observability via logs and metrics.
4. Cloud & OpenShift Architecture
Design SAS platforms across major clouds:
AWS / Azure / GCP architecture patterns.
OpenShift Architecture
IaaS vs PaaS deployment models.
Cloud networking (VPC/VNet, subnets, private endpoints).
Cost optimization and right-sizing.
Object storage integration (S3, Blob, GCS).
Backup and archival strategies.
5. Database & Data Layer (PostgreSQL Focus)
Architect and administer PostgreSQL for SAS Viya services.
Configure:
o HA clusters
o Replication
o Connection pooling
Performance tuning (indexes, vacuum, partitioning).
Secure DB connectivity (TLS, secrets).
Integrate SAS with enterprise RDBMS platforms.
6. Security & Compliance
Design enterprise authentication:
o LDAP / Active Directory
o SAML / OAuth / OIDC
Implement RBAC across SAS and Kubernetes.
Secrets management (Vault, K8s secrets).
Encryption in transit and at rest.
Audit, governance, and regulatory compliance.
7. Performance & Capacity Engineering
Workload benchmarking and tuning.
Optimize CAS (Cloud Analytic Services) performance.
Memory and CPU sizing for distributed analytics.
Grid and multi-node compute optimization.
Storage IOPS and throughput planning.
8. DevOps & Automation
Build Infrastructure as Code (IaC):
o Terraform / ARM / CloudFormation
Automate deployments via CI/CD pipelines.
Script provisioning (Bash, Python, Ansible).
Implement GitOps workflows.
Manage patching and upgrades.