Data Governance & Security Architect (Snowflake, AWS)
Ind - KA - Bangalore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild enterprise data sharing reference architecture
Define data governance and security framework
Design data classification and privacy framework
Design cross-region and cross-account data sharing
Create metadata and data lineage framework
From the employer’s posting
Enterprise Data Sharing Reference Architecture.
Data Governance & Security Framework.
Data Classification & Privacy Framework.
Cross-Region / Cross-Account Data Sharing Architecture.
Metadata & Data Lineage Framework.
What you’ll bring
All qualificationsPreferred experience
- Experience with Data Mesh, Data Products, Terraform, DevSecOps, AI Governance, Databricks, or Power BI.
Qualification wording
Experience with Data Mesh, Data Products, Terraform, DevSecOps, AI Governance, Databricks, or Power BI.
Tools in this posting
- SQL
- AWS
- Databricks
- Power BI
- Redshift
- S3
- Snowflake
- Terraform
Source — Tool mentions in context
- Experience with multi-tenant, cross-region, and external data-sharing architectures. - Strong knowledge of SQL, cloud data platforms, and modern data architecture patterns. Preferred Skills
Job Description: Data Governance & Security Architect (Snowflake, AWS) Job Location: Bangalore
Job Location: Bangalore A hands-on Data & Cloud Architect who can balance data accessibility, governance, security, privacy, performance, and cost optimization while enabling secure enterprise-scale data sharing using Snowflake and AWS - 12+ years in Data Architecture, Cloud Architecture, Data Engineering, or Data Governance.
- Strong experience with Snowflake Security, Governance, and Data Sharing capabilities. - Strong AWS experience including S3, Glue, Lake Formation, IAM, KMS, VPC, Data Exchange, and Redshift. - Expertise in Data Governance, Security, Privacy, Metadata, Lineage, Classification, and Compliance.
- SnowPro Certification. - AWS Solutions Architect Certification. - Experience with Data Mesh, Data Products, Terraform, DevSecOps, AI Governance, Databricks, or Power BI.
- AWS Solutions Architect Certification. - Experience with Data Mesh, Data Products, Terraform, DevSecOps, AI Governance, Databricks, or Power BI. Key Deliverables
- 12+ years in Data Architecture, Cloud Architecture, Data Engineering, or Data Governance. - Strong experience with Snowflake Security, Governance, and Data Sharing capabilities. - Strong AWS experience including S3, Glue, Lake Formation, IAM, KMS, VPC, Data Exchange, and Redshift.
Posting record
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- Live
- First seen by us
- Aug 31, 2026 · 58 days ago
- Recorded sightings
- 140
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description:
Data Governance & Security Architect (Snowflake, AWS)
Job Location: Bangalore
A hands-on Data & Cloud Architect who can balance data accessibility, governance, security, privacy, performance, and cost optimization while enabling secure enterprise-scale data sharing using Snowflake and AWS
- 12+ years in Data Architecture, Cloud Architecture, Data Engineering, or Data Governance.
- Strong experience with Snowflake Security, Governance, and Data Sharing capabilities.
- Strong AWS experience including S3, Glue, Lake Formation, IAM, KMS, VPC, Data Exchange, and Redshift.
- Expertise in Data Governance, Security, Privacy, Metadata, Lineage, Classification, and Compliance.
- Experience with multi-tenant, cross-region, and external data-sharing architectures.
- Strong knowledge of SQL, cloud data platforms, and modern data architecture patterns.
Preferred Skills
- SnowPro Certification.
- AWS Solutions Architect Certification.
- Experience with Data Mesh, Data Products, Terraform, DevSecOps, AI Governance, Databricks, or Power BI.
Key Deliverables
- Enterprise Data Sharing Reference Architecture.
- Data Governance & Security Framework.
- Data Classification & Privacy Framework.
- Cross-Region / Cross-Account Data Sharing Architecture.
- Metadata & Data Lineage Framework.
- Architecture Standards, Policies, and Reusable Patterns.
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- Pay
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- Location & working pattern
Ind - KA - Bangalore
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