Senior Data Security Engineer: Data Protection & Automation

I.T. Solutions, Inc.

United States

On-site

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

I.T. Solutions, Inc. is seeking a Sr.

Data Security Engineer to identify where sensitive data exists, how it moves, who can access it, and how it should be protected. You will build and operationalize capabilities to classify, monitor, and protect data across cloud environments, SaaS platforms, databases, analytics platforms, endpoints, and non-production systems. This hands-on engineering role focuses on turning data risk into durable technical controls, tuning controls to align with business

Qualifications

  • 5+ years of experience across data security, cloud security, platform security, security engineering, or related roles.
  • Hands-on experience implementing or operating capabilities such as DLP, DSPM, CASB, database activity monitoring, data discovery, or sensitive data classification.
  • Strong understanding of data protection across cloud storage, databases, SaaS platforms, collaboration tools, endpoints, and analytics environments.
  • Experience securing AWS data services and multi-account environments, including storage permissions, encryption, logging, identity, and public exposure controls.
  • Experience with encryption, key management, tokenization, masking, secrets management, and protection of production data in non-production environments.
  • Strong understanding of IAM, least privilege, privileged access, service identities, and access-control models such as RBAC and ABAC.
  • Experience integrating security telemetry with SIEM, XDR, SOAR, or incident response workflows.
  • Ability to write automation or production-quality scripts in Python, PowerShell, Go, or a similar language.
  • Experience tuning security controls to reduce false positives without weakening protection.
  • Comfort working directly with Data Engineering, Platform Engineering, Architecture, Security Operations, GRC, Privacy, and business stakeholders.

Responsibilities

  • Build and operationalize data discovery and classification capabilities across structured and unstructured data sources.
  • Identify sensitive data such as PII, financial information, payment card data, intellectual property, credentials, and other business-critical information.
  • Develop and maintain inventories and data-flow mappings showing origins, movement, storage, and access of sensitive data.
  • Design, implement, and tune controls across DLP, DSPM, CASB, database activity monitoring, encryption, tokenization, data masking, and key management.
  • Secure data stored in AWS, databases, data lakes, warehouses, SaaS applications, collaboration platforms, endpoints, and non-production environments.
  • Develop data protection policies that account for classification, user context, business process, destination, access patterns, and exfiltration risk.
  • Partner with Identity, Platform, Data, and Architecture teams on RBAC, ABAC, least privilege, privileged access, service identities, and time-bound access patterns.
  • Integrate data security telemetry with SIEM, XDR, and Security Operations workflows to detect anomalous access, insider risk, data misuse, and potential exfiltration.
  • Build automation for investigation, enrichment, containment, remediation, ticketing, evidence collection, and control validation.
  • Support incident response involving sensitive data, including scoping affected information, preserving evidence, determining exposure paths, and improving controls after an event.
  • Define meaningful program metrics, including data coverage, classification accuracy, control coverage, policy effectiveness, false-positive rates, access exposure, and remediation progress.
  • Make technical decisions visible through design documents, runbooks, reference implementations, and repeatable patterns that other teams can adopt.

Skills

DLP/DSPM/CASB
Cloud data security
IAM & access control
Security telemetry integration
Automation scripting
Incident response
Python/PowerShell/Go
Data discovery
RBAC/ABAC concepts

Tools

Python
PowerShell
Go
SQL

Job description

I.T. Solutions, Inc. is seeking a Sr.

Data Security Engineer to identify where sensitive data exists, how it moves, who can access it, and how it should be protected. You will build and operationalize capabilities to classify, monitor, and protect data across cloud environments, SaaS platforms, databases, analytics platforms, endpoints, and non-production systems. This hands-on engineering role focuses on turning data risk into durable technical controls, tuning controls to align with business

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