CrawlJobs Logo
Robert Half Logo Robert Half · IT - Software Development

Lead Data Security Engineer

United States, Johns Creek · Job Posted July 03, 2026
Apply Position
Job Link Share

Job Description

We are seeking a Senior Data Security Engineer to lead enterprise-wide data protection initiatives focused on Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), and data governance programs. This individual will play a key role in designing, implementing, and managing strategies that protect sensitive data across both cloud and on-premises environments.

Job Responsibility

  • Lead the design, implementation, and optimization of enterprise DLP and CASB programs
  • Architect and manage data discovery, classification, labeling, and protection initiatives
  • Support data governance and compliance efforts through effective security controls and monitoring
  • Lead investigations involving data loss, policy violations, and potential data exfiltration events
  • Integrate security telemetry and data protection events into detection and monitoring platforms
  • Drive threat hunting and proactive monitoring efforts related to sensitive data exposure
  • Evaluate and recommend security tools, technologies, and vendors
  • Partner with security, infrastructure, compliance, legal, and business stakeholders to implement enterprise data protection strategies
  • Develop policies, standards, and best practices for data security and governance
  • Mentor junior security team members and provide technical leadership across security initiatives

Requirements

  • 5+ years of experience in cybersecurity, data security, information protection, or related disciplines
  • Strong hands-on experience with Microsoft Purview, including enterprise DLP implementations
  • Deep knowledge of Data Loss Prevention (DLP) technologies and methodologies
  • Experience with CASB solutions, preferably Zscaler CASB
  • Experience with data discovery, classification, labeling, and governance programs
  • Strong understanding of the data governance lifecycle and information protection frameworks
  • Experience supporting security investigations, incident response, and remediation activities
  • Knowledge of cloud security principles and modern security architectures
  • Strong communication and stakeholder management skills

Nice to have

  • Bachelor's degree in Computer Science, Cybersecurity, Information Security, or a related field
  • Experience with: Microsoft Purview
  • Data Labeling
  • eDiscovery
  • Varonis
  • Zscaler CASB
  • Data Classification Tools
  • Encryption and Key Management
  • Cloud Security Platforms
  • Threat Hunting Tools
  • Previous experience leading enterprise security initiatives across multiple business units
  • Experience mentoring security engineers and leading technical programs

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
Robert Half - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Lead Data Security Engineer

8 matching positions

Lead Data Security Engineer

Our client is seeking a Lead Data Security Engineer to drive enterprise-wide dat...
Location
Location
United States , Johns Creek
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-6+ years of experience in data security or information security roles
  • Strong hands-on experience with Microsoft Purview, including DLP, data labeling, and eDiscovery
  • Deep experience with CASB solutions (Zscaler preferred)
  • Strong understanding of the data governance lifecycle
  • Experience with DLP platforms, data classification tools, and threat hunting tools
  • Knowledge of encryption and key management practices
  • Experience securing cloud platforms and hybrid environments
  • Proven ability to lead enterprise security initiatives and investigations
Job Responsibility
Job Responsibility
  • Lead enterprise data protection initiatives, including DLP and CASB strategy design and implementation
  • Architect data discovery, classification, labeling, and protection programs across cloud and on-prem environments
  • Lead DLP investigations and remediation efforts related to data loss and exfiltration risks
  • Support compliance initiatives and regulatory requirements
  • Integrate data protection telemetry into detection and monitoring platforms
  • Drive threat hunting efforts focused on data exfiltration and misuse
  • Evaluate and recommend security tools and vendors
  • Provide technical leadership and mentorship to security team members
  • Partner with cross-functional teams and executive stakeholders
What we offer
What we offer
  • Medical, vision, dental, and life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Data Engineer Lead (OT Data)

Data Engineer (OT Data) (Category - Engineer) Sector: Oil and Gas Location: Doha...
Location
Location
Qatar , Doha
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's in engineering, Information Systems, or a related quantitative field
  • 5+ years of proven experience in a data engineering role
  • Experience within oil and gas industry is highly preferred
  • Demonstrable experience building and operationalizing large-scale data pipelines and applications
Job Responsibility
Job Responsibility
  • Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines
  • Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors
  • Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data
  • Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics
  • Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data
  • Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise
  • Ensure Data Quality & Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies
  • Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU™ Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle
  • Collaborate & Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions
  • Automate & Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness
  • Fulltime
Read More
Arrow Right
New

Lead Data Engineer

We’re looking for a Lead Data Engineer to play a pivotal role in shaping how Hyd...
Location
Location
United Kingdom , London
Salary
Salary:
68000.00 - 80400.00 GBP / Year
jobs.360resourcing.co.uk Logo
360 Resourcing Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience leading data engineering work in a complex or enterprise environment
  • Deep technical expertise in modern data platforms, cloud infrastructure and data pipeline development
  • Understanding of data architecture, integration, security and governance
  • Ability to translate complex technical concepts into clear, accessible language for a range of stakeholders
  • Collaborative leader who can develop others, build strong working relationships and drive continuous improvement
Job Responsibility
Job Responsibility
  • Lead the design, build and delivery of Hyde’s data platform, including data pipelines, cloud infrastructure and integration solutions
  • Ensure data solutions are scalable, secure and reliable, supporting real-time access to high-quality information across the business
  • Drive engineering standards, governance and continuous improvement across data architecture, automation and deployment practices
  • Work closely with stakeholders, analysts and technical teams to translate business needs into practical, value-driven data solutions
  • Lead, coach and develop Data Engineers, creating a collaborative team culture focused on performance, learning and delivery
What we offer
What we offer
  • Reasonable adjustments throughout the recruitment process and in the workplace (Disability Confident Employer)
  • Fulltime
Read More
Arrow Right
New

Lead Data Engineer – AI & Foundation Models

Our Purpose Mastercard powers economies and empowers people in 200+ countries a...
Location
Location
Ireland , Dublin 18
Salary
Salary:
Not provided
mastercard.com Logo
Mastercard
Expiration Date
October 10, 2026
Flip Icon
Requirements
Requirements
  • Strong experience designing and building production‑grade data pipelines in large‑scale environments
  • Deep expertise with distributed data processing frameworks (e.g. Spark or equivalent) and SQL‑based analytics
  • Experience working with cloud data platforms and storage technologies (AWS, Azure, or GCP)
  • Solid understanding of data modeling, performance tuning, and cost‑efficient data architecture
  • Experience supporting machine learning and AI workloads, including training datasets, feature engineering, and inference data flows
  • Familiarity with data governance concepts, including lineage, data quality, access control, and auditability
  • Strong software engineering fundamentals, including version control, testing, CI/CD, and code quality standards
  • Ability to translate AI and product requirements into practical, scalable data solutions
  • Experience leading technical delivery and mentoring engineers, without formal line‑management responsibility
  • Clear, concise communicator able to collaborate effectively with engineers, data scientists, product managers, and stakeholders
Job Responsibility
Job Responsibility
  • Lead the design and implementation of scalable data pipelines supporting AI model training, inference, and experimentation
  • Own data ingestion, transformation, and aggregation patterns across batch and streaming workloads
  • Partner with AI engineers to enable feature engineering, feature stores, and training datasets aligned to model requirements
  • Ensure data pipelines meet enterprise standards for quality, availability, lineage, and governance
  • Drive best practices for data modeling, schema management, partitioning, and performance optimization
  • Implement robust data quality checks, validation, and monitoring to ensure trust in downstream AI systems
  • Collaborate with platform and infrastructure teams to build pipelines on cloud‑native and distributed data processing platforms
  • Support secure data access patterns, including environment isolation, access controls, and auditability
  • Lead code reviews and design reviews for data engineering deliverables across the program
  • Mentor and guide senior and mid‑level data engineers, providing technical direction and delivery oversight
  • Fulltime
Read More
Arrow Right

Lead, Data Engineer

The Lead Data Engineer provides technical leadership for the design, development...
Location
Location
Canada , Vancouver
Salary
Salary:
120000.00 - 140000.00 USD / Year
canfor.com Logo
Canfor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, or Statistics
  • 7–10+ years of experience in enterprise data warehousing, analytics, and data platform engineering
  • 7+ years of demonstrated experience designing and delivering data engineering, ELT, and streaming solutions, including technical leadership across complex initiatives
  • Proven track record designing and evolving scalable, secure, and cost-effective cloud data architectures in an enterprise environment
  • Proven experience in database design, data schema design and data modeling
  • Experience defining and governing enterprise data architecture standards, engineering frameworks, and reference patterns
  • Experience delivering ETL/ELT solutions for importing data from a wide variety of sources
  • Experience working with Microsoft Fabric or Azure Products: Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure Purview, Azure DevOps, etc.
  • Experience designing and building cloud data architecture to facilitate data pipelines and analysis workflows within a cloud environment (preferably Microsoft Fabric)
  • Experience with Enterprise Resource Planning systems (preferably Oracle) is an asset
Job Responsibility
Job Responsibility
  • Lead the design and implementation of batch, real-time, and streaming data pipelines in Microsoft Fabric, while establishing engineering standards, reusable patterns, and delivery best practices
  • Design and build event-driven and near real-time data processing solutions that enable reliable, scalable data movement
  • Own the evolution of the data platform, including scalability, reliability, observability, resiliency, and cost optimization
  • Enable data platforms that support AI/ML and Generative AI use cases
  • Establish data observability, monitoring, and data quality SLAs to ensure trusted, resilient data solutions across the analytics platform
  • Establish and enforce processes and controls that maintain the security, quality, accountability, availability, and compliance of enterprise data assets
  • Partner with business and IT leaders to shape roadmaps, lead delivery planning, manage technical tradeoffs, and execute projects within time and budget constraints
  • Establish and maintain architecture, engineering, operational, and support documentation standards for the data platform
  • Translate business requirements into scalable data platform designs and guide solution implementation to support analytics and reporting delivery
  • Partner with analytics and data science teams to operationalize advanced analytics solutions
What we offer
What we offer
  • performance-based incentive plans
  • recognition programs
  • benefits
  • paid leaves
  • pension plans with base and matching contributions
  • savings options
  • robust health & well-being initiatives
  • Fulltime
Read More
Arrow Right

Security Data Engineer

We are looking for a Security Data Engineer to join our team in Costa Mesa, Cali...
Location
Location
United States , Costa Mesa
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience building and supporting data pipelines in a data lake or large-scale data engineering environment
  • Strong programming skills in Python and hands-on experience with Apache Spark, Apache Hadoop, Apache Kafka, and ETL development
  • Practical knowledge of Amazon Web Services (AWS) and infrastructure automation tools such as AWS CDK and Infrastructure as Code frameworks
  • Experience maintaining pipeline reliability, troubleshooting ingestion issues, and improving operational stability in production environments
  • Ability to work directly with internal stakeholders to locate source data, obtain access, and move integrations forward
  • Familiarity with data analysis and data cleaning techniques that improve downstream usability and trust in datasets
  • Exposure to CI/CD practices and deployment automation for data engineering workflows
  • Additional programming experience in Rust or Go is preferred
Job Responsibility
Job Responsibility
  • Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets
  • Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows
  • Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations
  • Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed
  • Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem
  • Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion
  • Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets
  • Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations
What we offer
What we offer
  • Medical, vision, dental, and life and disability insurance
  • Eligibility to enroll in company 401(k) plan
  • Free online training
Read More
Arrow Right

Lead Data Engineer

Rapid7 is seeking a Data Engineer, Data Engineering & Analytics to join a high-p...
Location
Location
India , Pune
Salary
Salary:
Not provided
rapid7.com Logo
Rapid7
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering, analytics, or business intelligence
  • 8+ years experience designing, implementing, operating, and extending enterprise dimensional data models
  • 3+ years experience building reports and dashboards in Tableau and/or other similar data visualization tools
  • Experience in DBT modeling and understanding modular, performant models
  • Solid understanding of Snowflake, SQL, and data warehouse management
  • Understanding of ETL/ELT processes, data pipelines, and cloud-based data architectures
  • Familiarity with modern data stacks (DBT, Airflow, Fivetran, Matillion, or similar tools)
  • Hands-on experience building and operating cloud infrastructure on AWS
  • Experience managing software installations, upgrades, and configuration in production environments
  • Ability to manage data governance, security, and compliance requirements (SOC 2, GDPR, etc.)
Job Responsibility
Job Responsibility
  • Implement data modeling best practices to enhance data accessibility and reporting capabilities
  • Ensure data integrity, security, and compliance with industry standards and regulations
  • Document plans and results in user-stories, issues, PRs, the team’s handbook - following the tradition of documentation first
  • Implement the Corp Data philosophy in everything you do
  • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment
  • Maintain and advocate for these standards through code review
  • Collaborate with IT and DevOps teams to optimize cloud infrastructure and data governance policies
  • Manage and enhance the existing Tableau reporting suite, ensuring self-service analytics and actionable insights for stakeholders
  • Design, develop, and extend DBT code repository to extend the Enterprise Dimensional Warehouse capabilities and infrastructure
  • Develop and maintain a single source of truth for business metrics, ensuring consistency across reporting platforms
  • Fulltime
Read More
Arrow Right

Data Engineer – Lead

Data Engineer – Lead
Location
Location
India , Bengaluru Urban
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Pipelines, Dataflows Gen2, Notebooks, and Power BI integration
  • Expertise in ETL/ELT, data pipelines, distributed data processing, and cloud-scale data engineering
  • Strong SQL, Python, PySpark, and data modeling skills
  • Experience with Lakehouse, Warehouse, and Medallion Architecture
  • Understanding of Delta tables, dimensional modeling, star schema, facts, dimensions, and curated analytical datasets
  • Experience integrating structured, semi-structured, file-based, API-based, enterprise application, and cloud data sources
  • Experience with data quality, reconciliation, logging, monitoring, and error-handling frameworks
  • Experience leading technical teams and coordinating onshore/offshore delivery
  • Experience with Git, CI/CD, Azure DevOps, branching, code reviews, and release management
  • Good to Have: Experience with Azure Data Factory, Synapse, Databricks, ADLS Gen2, Azure SQL, Microsoft Purview, or related Azure services
Job Responsibility
Job Responsibility
  • Lead the design and implementation of scalable data pipelines and data processing frameworks in Microsoft Fabric
  • Define data engineering standards, development practices, naming conventions, coding guidelines, and reusable technical patterns
  • Lead implementation of Bronze, Silver, and Gold layers in the Medallion Architecture
  • Oversee ingestion, transformation, orchestration, validation, and publication of data from multiple enterprise, clinical, operational, and cloud-based sources
  • Guide development of Fabric Pipelines, Dataflows Gen2, Notebooks, Lakehouse tables, Warehouse objects, and curated datasets
  • Ensure scalability, performance, reliability, maintainability, security, monitoring, and optimization of data solutions
  • Define standards for data quality, reconciliation, logging, error handling, auditability, and lineage
  • Conduct technical design reviews, code reviews, performance reviews, and deployment readiness reviews
  • Mentor and guide data engineering teams across onshore/offshore locations
  • Collaborate with architects, platform engineers, BI teams, QA teams, AI/ML teams, functional consultants, and stakeholders
Read More
Arrow Right