FIND_THE_RIGHTJOB.
India
Role Proficiency:
Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team
Outcomes:
Measures of Outcomes:
Outputs Expected:
Determine Specific Data needs:
Management and Strategy:
Critical business insights:
Code:
Create/Validate Data Models:
Predictive analytics:
Prescriptive analytics:
Code Versioning:
Create Reports:
Document:
Manage knowledge:
Status Reporting:
Skill Examples:
Knowledge Examples:
Knowledge Examples
Additional Comments:
Role Scope / Deliverables: Dataiku Platform Administrator Role Location(s): Bangalore, India Planned Start Date: 9/15/2025 Planned End Date: 7/31/2026 Key Skills: 1) Platform Ownership & Reliability • Install, configure, and upgrade Dataiku DSS (design/execution/automation/API nodes, Deployer) across dev/test/prod. • Implement HA/DR: backups, restores, replication/automation bundles, and tested runbooks (RPO/RTO targets). • Capacity planning, performance tuning, and housekeeping (jobs, logs, temp/managed folders, connection quotas). • Observability: system and job metrics, s, and SLO dashboards; root-cause analyses after incidents. 2) Security, Governance & Compliance • Define and administer RBAC, group mappings (LDAP/AD/SCIM where applicable), project permissions, code-env rights. • Federate identity and SSO (SAML/OIDC); enforce MFA where required; manage service accounts and secrets (e.g., Vault/KMS). • Data governance enablement: dataset classification/tagging, lineage visibility, data retention, PII/PHI handling standards. • Audit logging and evidence collection; periodic access reviews; approval workflows for high-risk actions. • Model governance: promotion gates, documentation standards, reproducibility checks, drift/bias monitoring and decommissioning. • Ensure adherence to corporate security frameworks and regulations (e.g., ISO 27001/NIST, GDPR/CCPA, HIPAA as applicable). 3) Procedural Definition & Enforcement • Author and maintain SOPs/runbooks for provisioning, upgrades, code-env management, plugin lifecycle, and incident/change/problem management (ITIL v4). • Operate a structured change process (CAB, change windows, rollback criteria) and release calendar for DSS and dependencies. • Define and enforce standards for: • Conduct periodic compliance checks and report exceptions with remediation plans. 4) Integration & Environment Management • Set up and govern connections to data platforms (e.g., Snowflake, BigQuery, Redshift, Synapse, SQL Server/Oracle/Postgres), object storage (S3/ADLS/Blob/GCS), and message/streaming systems. • Hadoop/Spark/Kerberos integration where used; containerized or Kubernetes execution for scalable workloads. • Manage code environments (Python/Conda/R): base images, package mirrors, GPU support, vulnerability patching. • CI/CD for Dataiku projects: Git integration, bundle/deployment automation, environment promotion policies. • Logging/monitoring integrations (e.g., Splunk/ELK, Prometheus/Grafana), ticketing/ITSM (e.g., ServiceNow), and schedulers (e.g., Airflow) 5) Cost, Capacity & License Management • Track license usage, concurrency, and compute/storage spend; implement quotas and guardrails. • Recommend optimization (autoscaling, ephemeral execution, storage lifecycle policies). 6) User Enablement & Platform Adoption • Curate project templates, starter kits, and best-practice guides. • Run office hours and trainings (Designer/Developer/Admin audiences). • Triage platform questions and unblock teams quickly; champion safe and scalable platform usage.
Dataiku,Data Science,Dataiku admin
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