Sr. Data Security Engineer

Senior Data Security Engineer

Location: Remote, United States Location Type: Remote Salary Range: 125000 - 160000 USD Annually

We are looking for a Senior Data Security Engineer to join our Grid and Energy Services team to own and implement data security governance across the Azure data platform, embedding encryption, access controls and privacy into all data systems. The ideal candidate can set standards and ensure compliance while guiding architecture and risk management across multiple departments within this team.

This role is remote; however, the candidate(s) will be expected to relocate at their own expense to our onsite Houston location by Q1 in 2027* *Q1 2027 is an approximate timeframe and is subject to change at any time

Design and implement data protection, encryption, and secure access across Azure services (Event Hubs, IoT, Fabric), strengthening pipelines against exfiltration and misuse

Build and manage governance frameworks with Microsoft Purview, including cataloging, classification, lineage, and data lifecycle policies

Apply privacy-by-design practices (PII minimization, tokenization, anonymization) and ensure controls scale across multi-tenant environments

Partner with Security, Legal, and Compliance to align with SOC 2, ISO 27001, and GDPR, delivering audit-ready logging and traceability

Embed security and governance into pipelines, IaC, and APIs using policy-as-code and standardized onboarding requirements

Monitor governance health via telemetry integrations (Azure Monitor, Log Analytics, App Insights) to support compliance and incident response

Define long-term strategy for data security and governance; lead architecture standards, mentor engineers, and advise leadership on risk and compliance

8+ years in data engineering, security, governance, or cloud platforms, with 3+ years focused on data security/governance

Strong hands-on experience with Azure data services and security controls

Expertise in encryption, key management, and securing data lakes/warehouses on Azure

Proficiency in Python, SQL, or KQL for data and analytics workflows

Experience building or operating multi-tenant SaaS data platforms on Azure

Background in securing real-time/streaming pipelines (Event Hubs or Fabric)

Solid understanding of Azure services, CI/CD, and policy-as-code practices

Proficient with Git, GitHub, and GitHub Actions for development workflows

Experience working in agile environments using JIRA or Azure DevOps

BS/MS in Computer Science, Engineering, or a related field preferred

Hands-on experience with Microsoft Purview in production environments

Familiarity with Microsoft Fabric governance models and OneLake security

Experience securing event-driven and streaming architectures (Event Hubs, IoT)