Sr. Engineer Data Security at LPL Financial
Fort Mill, SC 29715, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Jun, 25

Salary

0.0

Posted On

14 Mar, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Powershell, Varonis, Splunk, Data Security, Python

Industry

Information Technology/IT

Description

Are you a team player? Are you curious to learn? Are you interested in working in meaningful projects? Do you want to work with cutting-edge technology? Are you interested in being part of a team that is working to transform and do things differently? If so, LPL Financial is the place for you!

JOB OVERVIEW:

LPL’s Security Architecture Engineering organization is looking for a talented professional to join a high-performing organization that is charged with supporting LPL’s Data Protection program. The Sr. Engineer Data Security will be responsible for designing, implementing, and maintaining data security solutions to protect our organization’s sensitive information. The ideal candidate will have experience in data security and Data Security Posture Management. The Engineer will work closely with IT staff, and business stakeholders to identify and mitigate potential security risks and implement best practices. Creativity in tracking down possible gaps in data integrity and security for the enterprise would be an asset to the enterprise. This individual will have the opportunity to help shape the future direction of data security at LPL. We are looking for an experienced professional, who has a breadth of knowledge and skills across various technical and project management acumens, along with an understanding of industry best practices.

WHAT ARE WE LOOKING FOR?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

REQUIREMENTS:

  • 4+ years of experience in data security, risk management, or a related field
  • 2+ years’ experience with DSPM tools like BigID, Varonis, Symmetry
  • 4+ years’ experience with Scripting/Automation tools such as Splunk, Python, PowerBI, PowerShell
  • 4+ years of working knowledge of cyber security projects and programs and managing requirements and testing on the projects
  • 2+ years’ experience collaborating with technical team members, business analysts, and project/program managers to ensure a quality solution is delivered
Responsibilities
  • Managing LPL’s Data Security Posture Management platform. Including engineering, automation and support
  • Experience in evaluating Structured data like Oracle, PostgreSQL, MySQL, SQL server and Unstructured data like S3, Azure blob storage security tools in a cloud environment, AWS/Azure
  • Strong expertise in cloud-native structured and unstructured storage products with the ability to dive deep into data activities, access controls, configurations, and audit logs in various cloud databases and unstructured storage platforms and develop a process and solutions to mitigate data risks
  • Establishing safety protocols to protect all data collected and used by the organization
  • Drafting security plans depending on the organization’s needs and current threats
  • Foster a partnered approach, building and maintaining strong productive working relationships with internal stakeholders aligning service delivery with business needs
  • Analyze data protection risk scenarios within the data persistent and transit layers and develop mitigations to protect sensitive data with a sustainable solution
  • Proven experience in implementing and practicing cloud data security standards, compliance, and risk management strategies
  • Responsible for securing and protecting sensitive data by implementing and maintaining security measures, policies, and procedure
  • Conduct security assessments and risk analyses to identify potential vulnerabilities and recommend remediation plans
  • Discuss complex technical details at a high level with leadership/stakeholders and at a low level with engineers and architects
  • Adhere to data policies & standards, while also enforcing correct management of sensitive data in compliance with global business rules, legal and governmental regulations
  • Ensure data integrity, accuracy, and reconciliation within reports and dashboards by reviewing, identifying, and resolving gaps and inconsistencies
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