The Senior Data Security Engineer is responsible for leading complex efforts to develop and deliver complex data solutions to accomplish cyber security technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems. They guide stakeholders, Product Owners, and Software Engineers through the design and execution processes. These individuals provide technical thought leadership based on the significant experience they have built through implementing multiple complex data solutions, and their knowledge of the interaction across multiple data flows and systems. The candidate is expected to have knowledge in the cyber security domain.
Primary Level of Engagement: Works as a team member under supervision from a more senior domain expert.
Primary Interactions:
Key Responsibilities:
Required Skills:
Enterprise Role Overview:
Responsible for leading complex efforts to develop and deliver complex data solutions to accomplish technology and business goals. Codes design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. Guides stakeholders, Product Owners, and Software Engineers through the design and execution processes. Provides technical thought leadership through implementing multiple complex data solutions, and knowledge of the interaction across multiple data flows and systems . Ensures that the design and engineering approach for complex data solutions, requiring consistency across multiple flows and systems. Conducts research, designs prototyping and other exploration activities such as evaluating new toolsets. Utilizes multiple architectural components in design and development of client requirements. Maintains, improves, cleans and manipulates data for the operational and/or analytics data systems. Constantly seeks better ways of solving technical problems and designing the solution and challenges the status quo. Collaborates with development teams to understand data requirements, ensuring the data architecture is feasible to implement and subsequently implemented accurately. Assembles large, complex data sets that meet functional / non-functional requirements. Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Defines and builds data pipelines that enable faster, better, data-informed decision-making within the business. Contributes to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause. Documents and communicates required information for deployment, maintenance, support, and business functionality. Adheres to team delivery/release process and cadence pertaining to code deployment and release. Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Leads concept and experimentation testing and synthesizes the results to validate and improve analytical solution. Defines key performance indicators and internal controls. Mentors more junior Data Engineers and can coach team members in the delivery/release (CI-CD) events - e.g. branching timelines, pull requests, issue triage, merge/conflict resolution, release notes. Individual contributor.
Shift:
1st shift (United States of America)Hours Per Week:
40