CrawlJobs Logo

Lead Data Security Engineer

https://www.roberthalf.com Logo

Robert Half

Location Icon

Location:
United States , Johns Creek

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Our client is seeking a Lead Data Security Engineer to drive enterprise-wide data protection initiatives across cloud and on-prem environments. This role will lead the design, implementation, and operational execution of DLP and CASB strategies while mentoring team members and partnering with stakeholders across the business.

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

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

Nice to have:

  • Microsoft Purview
  • Varonis
  • Zscaler CASB
  • Enterprise DLP platforms
  • Cloud security platforms
  • Data discovery and classification tools
  • Bachelor's degree in Computer Science, Information Security, Cybersecurity, or related field
What we offer:
  • Medical, vision, dental, and life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
May 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Robert Half - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon
PREMIUM
More languages and countries
+ Unlock 31694 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead Data Security Engineer

Data Engineering Lead

Data Engineering Lead a strategic professional who stays abreast of developments...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
  • 4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
  • Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
  • Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
  • Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
  • Experienced in working with large and multiple datasets and data warehouses
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
  • Strong analytic skills and experience working with unstructured datasets
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Job Responsibility
Job Responsibility
  • Strategic Leadership: Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
  • Team Management: Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
  • Architecture and Design: Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
  • Technology Selection and Implementation: Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
  • Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data
  • Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting
  • Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data
  • Fulltime
Read More
Arrow Right

Cyber Security Engineering Lead

Join Citi's Cloud Technology Services team to lead and execute critical cyber se...
Location
Location
Hungary , Budapest
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of relevant cybersecurity and/or IT experience
  • Leadership roles across technology or cybersecurity leading large programs or transformational activities
  • Proven track record of delivering security observability platforms such as telemetry data for performance and/or user experience.
  • Thorough understanding of industry and corporate technology standards for Cyber Security services
  • Demonstrated ability to take ownership and work with cross functional teams to manage multiple projects simultaneously under pressure
  • Advanced analytical and problem-solving skills
  • Consistently demonstrates clear and concise written and oral communication as well as strong presentation skills to both technical and non-technical audiences.
  • Bachelor’s degree in relevant subject or equivalent work experience
Job Responsibility
Job Responsibility
  • Lead a virtual team of Infrastructure Defense professionals.
  • Lead CTB transformational and RTB activities across NDCS and act as focal point managing cyber security platforms
  • Lead, design, own and deliver Security Observability Enablement on a global scale focusing on all related perimeter technologies – such as Firewall Telemetry.
  • Deliver end-to-end dashboards of critical security service based data (such as firewall performance)
  • Working with Transformation Program Directors, Senior Architects, Steering Committees on execution of perimeter security and edge security programs
  • Work with global cyber security industry partners on influencing next generation cyber technology, take part in related R&D efforts.
  • Responsible for inventory, accuracy and engineering excellence activities for assigned services and products.
What we offer
What we offer
  • Cafeteria Program
  • Home Office Allowance (for colleagues working in hybrid work models)
  • Paid Parental Leave Program (maternity and paternity leave)
  • Private Medical Care Program and onsite medical rooms at our offices
  • Pension Plan Contribution to voluntary pension fund
  • Group Life Insurance
  • Employee Assistance Program
  • Access to a wide variety of learning and development programs, online course libraries and upskilling platforms, such as Udemy and Degreed
  • Flexible work arrangements to support you in managing work - life balance
  • Career progression opportunities across geographies and business lines
  • Fulltime
Read More
Arrow Right

Data Engineering Lead

The Engineering Lead Analyst is a senior level position responsible for leading ...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
  • 4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
  • Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
  • Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
  • Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
  • Experienced in working with large and multiple datasets and data warehouses
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
  • Strong analytic skills and experience working with unstructured datasets
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Job Responsibility
Job Responsibility
  • Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
  • Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
  • Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
  • Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
  • Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness
  • Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions
  • Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations
What we offer
What we offer
  • Equal opportunity employer commitment
  • Accessibility and accommodation support
  • Global workforce benefits
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

We are seeking an experienced Senior Data Engineer to lead the development of a ...
Location
Location
India , Kochi; Trivandrum
Salary
Salary:
Not provided
experionglobal.com Logo
Experion Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years experience in data engineering with analytical platform development focus
  • Proficiency in Python and/or PySpark
  • Strong SQL skills for ETL processes and large-scale data manipulation
  • Extensive AWS experience (Glue, Lambda, Step Functions, S3)
  • Familiarity with big data systems (AWS EMR, Apache Spark, Apache Iceberg)
  • Database experience with DynamoDB, Aurora, Postgres, or Redshift
  • Proven experience designing and implementing RESTful APIs
  • Hands-on CI/CD pipeline experience (preferably GitLab)
  • Agile development methodology experience
  • Strong problem-solving abilities and attention to detail
Job Responsibility
Job Responsibility
  • Architect, develop, and maintain end-to-end data ingestion framework for extracting, transforming, and loading data from diverse sources
  • Use AWS services (Glue, Lambda, EMR, ECS, EC2, Step Functions) to build scalable, resilient automated data pipelines
  • Develop and implement automated data quality checks, validation routines, and error-handling mechanisms
  • Establish comprehensive monitoring, logging, and alerting systems for data quality issues
  • Architect and develop secure, high-performance APIs for data services integration
  • Create thorough API documentation and establish standards for security, versioning, and performance
  • Work with business stakeholders, data scientists, and operations teams to understand requirements
  • Participate in sprint planning, code reviews, and agile ceremonies
  • Contribute to CI/CD pipeline development using GitLab
Read More
Arrow Right

Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in...
Location
Location
United Kingdom , Any UK Office Hub (Bristol / London / Manchester / Swansea)
Salary
Salary:
80000.00 - 96000.00 GBP / Year
madetech.com Logo
Made Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
  • Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
  • Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
  • Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes)
  • Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines
  • You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines
  • Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment
  • Some knowledge of how you would present diagrams (C4, UML, etc.)
  • Enthusiasm for learning and self-development
  • You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban
Job Responsibility
Job Responsibility
  • Define, shape and perfect data strategies in central and local government
  • Help public sector teams understand the value of their data, and make the most of it
  • Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP
  • Contribute to our recruitment efforts and take on line management responsibilities
  • Help implement efficient data pipelines & storage
What we offer
What we offer
  • 30 days of paid annual leave
  • Flexible parental leave options
  • Part time remote working for all our staff
  • Paid counselling as well as financial and legal advice
  • 7% employer matched pension
  • Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
  • Optional social and wellbeing calendar of events
  • Fulltime
Read More
Arrow Right

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
  • healthcare experience preferred
  • Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
  • Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
  • Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
  • Understanding of healthcare data, including clinical, operational, and financial data models, preferred
  • Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
  • Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
  • Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
Job Responsibility
Job Responsibility
  • Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
  • Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
  • Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
  • Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
  • Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
  • Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
  • Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
  • Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
  • Implement robust data quality processes, validation, monitoring, and error-handling frameworks
  • Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications
What we offer
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Sparteo is an independent suite of AI-powered advertising technologies built on ...
Location
Location
Salary
Salary:
Not provided
corporate.sparteo.com Logo
Sparteo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficiency in distributed data systems
  • Proficient in clustering, various table types, and data types
  • Strong understanding of materialized views concepts
  • Skilled in designing table sorting keys
  • Solid programming skills in Python, Java, or Scala
  • Expertise in database technologies (SQL, NoSQL)
  • You are comfortable using AI-assisted development tools (e.g., GitHub Copilot, Tabnine)
  • Proven experience leading data teams in fast-paced environments
  • Ability to mentor junior engineers and foster a culture of growth and collaboration
  • Data-driven decision-making abilities aligned with Sparteo's focus on results and improvement
Job Responsibility
Job Responsibility
  • Data Infrastructure Design and Optimization
  • Lead the design, implementation, and optimization of data architectures to support massive data pipelines
  • Ensure the scalability, security, and performance of the data infrastructure
  • Collaborate with software and data scientists to integrate AI-driven models into data workflows
  • Leadership and Team Management
  • Manage and mentor a team of 2 data engineers, fostering a culture of continuous improvement
  • Oversee project execution and delegate responsibilities within the team
  • Guide technical decisions and promote best practices in data engineering
  • Collaboration and Cross-Functional Engagement
  • Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives
What we offer
What we offer
  • A convivial and flexible working environment, with our telecommuting culture integrated into the company's organization
  • A friendly and small-sized team that you can find in our offices near Lille or in Paris
  • Social gatherings and company events organized throughout the year
  • Sparteo is experiencing significant growth both in terms of business and workforce, especially internationally
  • Additional benefits include an advantageous compensation system with non-taxable and non-mandatory overtime hours, as well as a Swile restaurant ticket card
  • Fulltime
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right