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Principal Data Architect
n Human Resources & Management Systems [ nHRMS ]Lead enterprise-scale data architecture initiatives, defining cloud data strategy for a rapidly growing analytics organization. Enhance analytics solutions across global business domains.
Tech Stack
Tools & technologiesAzureBigQueryCloudGoogle Cloud PlatformKafkaPythonSparkSQLTerraformVault
About the role
Key responsibilities & impact- Define enterprise data architecture strategy and roadmap.
- Design scalable cloud-native data platforms on GCP and Azure.
- Develop conceptual, logical, and physical data models.
- Drive Data Mesh, Data Fabric, governance, and analytics initiatives.
- Mentor engineering and analytics teams.
- Partner with stakeholders to translate business requirements into solutions.
- Support AI/ML, advanced analytics, and modern data platform initiatives.
Requirements
What you’ll need- GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Data Fusion
- Microsoft Azure Data Platform Services
- Data Modeling: Relational, Star, Snowflake, Data Vault
- Data Mesh, Data Fabric, Data Products
- Data Governance, Metadata Management, Data Quality
- Python, SQL, Spark, Bash
- Terraform, GitHub Actions, Cloud Build, CI/CD
- AI/GenAI, Vertex AI
- Kafka, Event-Driven Architecture
- Cloud Security: IAM, VPC, VPN, GKE
Benefits
Comp & perks- 100% Remote Work
- Work on global enterprise transformation programs
- Lead cloud, analytics, and AI initiatives
- High visibility and leadership exposure
ATS Keywords
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Hard Skills & Tools
GCPAzureData ModelingPythonSQLSparkTerraformKafkaAI/GenAICloud Security
Soft Skills
mentoringstakeholder partnershipbusiness requirements translation