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Senior Technical Data Security Architect
GuidePoint Security. Design and maintain end-to-end data security architecture across Azure, Microsoft Fabric, Azure Synapse Analytics, ADLS Gen2, and Databricks Lakehouse .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data security architectures across Azure and Databricks, with a strong focus on compliance with GDPR, CCPA, HIPAA, and other regulatory standards. Proficient in implementing Microsoft Purview and Zero Trust frameworks to ensure robust data governance and security.
Highest-signal resume keywords
Azure Data Lake Storage Gen2Databricks Unity CatalogMicrosoft PurviewEntra ID GovernanceGDPR Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data Security ArchitectureSQLPythonPySparkPowerShellTerraformRBACABACData GovernanceData Encryption
Soft Skills
Strong Communication SkillsMentoringCollaborationLeadershipProblem-Solving
Tools & Technologies
Azure Synapse AnalyticsAzure Key VaultMicrosoft FabricAzure SQL DatabaseSnowflakeMicrosoft Defender for CloudAzure Private EndpointsVNet IntegrationNetwork Security GroupsMLflow
Certifications & Qualifications
AZ-500DP-203Databricks Certified Data Engineer ProfessionalCISSPCISM
Industry Keywords
Zero TrustData MinimizationData ClassificationCompliance ProgramsIncident ResponseData MeshAI/ML SecurityRegulated Industry ExperienceSensitivity LabelsData Access Logging
Tech Stack
Tools & technologiesAWSAzureCloudDACGoogle Cloud PlatformPySparkPythonSnowflakeSQLTerraformUnityVault
About the role
Key responsibilities & impact- Design and maintain end-to-end data security architecture across Azure, Microsoft Fabric, Azure Synapse Analytics, ADLS Gen2, and Databricks Lakehouse
- Define and enforce enterprise data classification, labeling, and handling standards aligned with Microsoft Purview Information Protection
- Develop reference architectures and security blueprints for data ingestion, transformation, storage, and consumption layers
- Lead threat modeling for data pipelines and analytics workloads
- Establish Zero Trust data security across data platforms and integration points
- Architect and govern Microsoft Fabric permissions, sensitivity labels, and OneLake security
- Design RBAC and ABAC strategies across Azure data services and Databricks
- Implement and operationalize Microsoft Purview for catalog governance, lineage, and sensitivity classification
- Configure Azure Private Endpoints, VNet integration, and network security groups
- Oversee encryption, Azure Key Vault, customer-managed keys, and data protection standards
- Enforce Entra ID Conditional Access, PIM, and managed identities
- Lead Microsoft Defender for Cloud DSPM implementation and tuning
- Architect Databricks Unity Catalog, workspace security, credential governance, OAuth, masking, fine-grained access controls, audit logging, workflows, notebooks, and job-cluster security
- Review MLflow models and Feature Store configurations for data leakage risks
- Ensure compliance with GDPR, CCPA, HIPAA, SOC 2 Type II, and PCI-DSS
- Design audit trails and data-access logging architectures; conduct risk assessments, gap analyses, and maturity evaluations
- Maintain security runbooks, policies, and standards documentation
- Coordinate DSARs and regulatory inquiries with legal, compliance, and privacy teams
- Advise data engineering, analytics engineering, and BI teams throughout development
- Lead security architecture review boards for new data initiatives, integrations, and platform changes
- Mentor engineers and architects; lead knowledge-sharing sessions and workshops
- Partner with engineering managers and HR on competency frameworks, leveling guides, and certification pathways
- Maintain a data security community of practice
- Collaborate with SecOps and SOC teams on detection rules, incident response playbooks, and forensic capabilities
- Present security posture, risk findings, and remediation roadmaps to executives and board-level stakeholders
Requirements
What you’ll need- 7+ years of experience in data engineering, data architecture, or information security, with at least 7 years focused on data security architecture OR Bachelor’s Degree and 3+ years of experience in those fields, with at least 3 years focused on data security architecture
- Deep hands-on expertise with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, and Microsoft Fabric
- Expertise designing and implementing Databricks Unity Catalog, including workspace federation, metastore design, and fine-grained access control
- Strong proficiency with Microsoft Purview, including data map configuration, classification rules, sensitivity labels, and policy enforcement
- Expert-level knowledge of Entra ID, Managed Identities, Conditional Access, PIM, and service principal governance
- Hands-on experience with Azure Key Vault, customer-managed encryption keys, and secrets management integration
- Understanding of Zero Trust, least privilege, data minimization, and data governance frameworks
- Experience with GDPR, CCPA, HIPAA, SOC 2, and PCI-DSS compliance programs as applied to data platforms
- Proficiency in SQL and at least one of Python, PySpark, PowerShell, or Terraform for security automation
- Experience securing data workloads across Azure, AWS, and/or GCP multi-cloud environments
- Hands-on experience with Snowflake data security, including RBAC/DAC, column-level and row-level security, dynamic data masking, network policies, Private Link, and Data Sharing governance
- Experience supporting presales activities, including technical discovery, RFP/RFI responses, solution demonstrations, and client-facing proposals and statements of work
- Strong written and verbal communication skills
- Preferred: active AZ-500, DP-203, Databricks Certified Data Engineer Professional, CISSP, or CISM certifications; Microsoft Sentinel; Databricks Delta Sharing, Cleanroom, and cross-cloud governance; Terraform or Bicep; data mesh; AI/ML security; regulated-industry experience
- Embraces emerging technologies, including AI tools
Benefits
Comp & perks- Remote workforce primarily; U.S. based only
- Up to 10% travel
- Group Medical Insurance options: Zero Deductible PPO Plan; GuidePoint pays 90% of employee premiums and 70% of family premiums
- High Deductible Health Plan with HSA; GuidePoint pays 100% of employee premiums and 75% of family premiums
- HSA contributions of $850 annually per employee or $1,750 annually per family
- Group Dental Insurance; GuidePoint pays 100% of employee premiums and 75% of family premiums
- 12 corporate holidays
- Flexible Time Off (FTO) program
- Healthy mobile phone and home internet allowance
- Eligibility for retirement plan after 2 months at open enrollment
- Pet Benefit Option
- Mentorship and guidance opportunities