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In todays world vast amounts of information fuel our operations. Data is more valuable than ever before. Protecting data and information systems is central to conducting business and everyone in EY Information Security plays a critical role. Join a global team of over 900 professionals who collaborate to support EYs business by safeguarding both EY and client information assets! Our Information Security experts enable EY to operate securely deliver secure products and services and detect and respond swiftly to security events as they occur. Together our dedicated teams efforts help protect the EY brand and build client trust.
Within Information Security we integrate risk strategy digital identity cyber defense application security and technology solutions while considering the entire security lifecycle. You will join a team of hardworking security-focused individuals dedicated to supporting protecting and enabling the business through innovative secure solutions that provide speed to market and business value.
The Opportunity
The Security Technology Services (STS) group is a division of Information Security that ensures secure access to systems and information for more than 400000 individuals across over 150 countries. We are seeking a highly skilled Cybersecurity Enterprise Data Architect to join our team focusing on both business and technical data models within Information Security. The ideal candidate will possess deep expertise in generative AI secure data architectures governance and cloud platforms. This role will concentrate on modernizing and designing data systems that enable trustworthy and explainable AI applications while ensuring security and compliance.
As a Data Architect on the STS team you will be responsible for transforming strategic plans into actionable solutions by producing architectural designs leading the development and implementation of data systems and providing security guidance to project teams. You will oversee experimental projects to identify the best technology choices for integration into EYs infrastructure leveraging your expertise in generative AI and collaborating with cross-functional teams to drive continuous improvement through performance monitoring and training initiatives.
Your Key Responsibilities
- Interpret and deliver impactful strategic plans improving data integration data quality and data delivery in support of business initiatives and roadmaps
- Define and implement the long-term technology strategy and innovations roadmaps across analytics data engineering and data platforms
- Collaborate closely with the Strategy team to both influence and incorporate organizational strategy
- Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps
- Connect with key stakeholders cybersecurity experts and operational teams within the Information Security department to create scalable security solutions
- Translate high-level business requirements into data models and appropriate metadata test data and data quality standards
- Simplify the existing data architecture delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
- Establish and maintain governance frameworks that ensure data integrity security and compliance across all data systems and applications integrating risk management principles into the design and operational processes
- Collaborate with Enterprise Architects to ensure solutions align with the companys long-term goals adhere to design guidelines and contribute to project direction when necessary
- Work with IT teams business analysts and data analytics teams to understand data consumers needs and develop solutions
- Work closely with cross-functional teams including data scientists engineers and business stakeholders to gather requirements facilitate discussions and ensure that data solutions meet business needs and compliance requirements
- Translate business requirements into technical specifications for solutions considering risks dependencies costs and the overall risk of the technical solution
- Lead the development of secure semantic retrieval-augmented generation (RAG) architectures that effectively manage and interconnect structured & unstructured data
- Integrate large language models (LLMs) with effective metadata governance and ontology enrichment processes
- Monitor industry trends emerging technologies and competitive landscape providing insights and recommendations to senior leadership for strategic decision-making
- Provide data architecture thought leadership at an enterprise level
- Select and implement database management systems that meet the organizations needs by defining data schemas optimizing data storage and establishing data access controls and security measures
- Design the structure and layout of data systems including databases warehouses and data lakes
- Ensure compliance with regulatory requirements data privacy and security standards implementing best practices for data governance risk management and cybersecurity
- Ensure data integrity through zero-trust prompt orchestration and model observability
- Architect and implement data lake houses and master data management (MDM) solutions
- Produce robust governed analytics solutions using tools such as Databricks and Microsofts Synapse
- Modernize cloud migration processes and construct data products that foster governed self-service analytics
- Collaborate with cross-functional teams to ensure adherence to regulatory standards and best practices in data governance
- Provide technical leadership mentorship and guidance to technical teams fostering a culture of innovation collaboration and continuous learning
- Travel requirements
Skills and Attributes for Success
Experience leading data architecture activities and initiating new ideasSkilled in guiding the development and strategic direction of solution architectureCreative innovative thinking styleSkilled in Microsoft Synapse Azure Data Lake / Factory Databricks Archer GRC or IRM solutionsStrong ability in programming languages such as Java Python and C / CAbility in data science languages / tools such as SQL R SAS or ExcelProficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS Azure GCP) real-time data distribution (Kafka Dataflow) and modern data warehouse tools (Snowflake Databricks)Experience with database technologies such as SQL NoSQL Oracle Hadoop or TeradataUnderstanding of entity-relationship modeling metadata systems and data quality tools and techniquesAbility to assess traditional and modern data architecture components based on business needsExperience with business intelligence tools and technologies such as ETL Power BI and TableauAbility to regularly learn and adopt new technology especially in the ML / AI realmStrong analytical and problem-solving skillsExposure to Sentinel ServiceNow CMDB APM and ITSM DatabasesProfound knowledge of security technologies including :Extensive hands-on experience with application security data architecture security analytics and threat intelligence solutions
Familiarity with data security frameworks and standardsKnowledge of secure software development lifecycle (SSDLC) processesPractical experience in applying security controls across various programming languages and frameworksQuick learner able to gain expertise in new technology areas swiftlyFlexible and capable of adapting to the ever-changing landscape of technology and global complexitiesProven track record in fostering client-service relationships and valuing internal customersAbility to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandingsAbility to collaborate and excel in complex cross-functional teams involving data scientists business architects business analysts and stakeholdersAbility to guide solution design and architecture to meet business needsExceptional communication and presentation abilities effectively engaging executive leadershipConsideration for the perspectives of diverse audiences both technical and non-technicalExperience in crafting security architecture documentation including vision statements Conceptual Architecture Logical and Solution Architecture artifactsAptitude for identifying and implementing opportunities for cybersecurity improvements and transformationsBachelors degree in Computer Science Engineering or equivalent work experience16 years of experience in the Information Technology field8 years of senior data architecture experience with exposure to enterprise architecture teams6 years of experience working with Data modeling governance and taxonomyIdeally Youll Also Have One or More
Security certifications such as CISSP or CISMTOGAF or AI architecture frameworkSANS Certifications including GSEC ECSA ECSPWhat We Look For
Deep critical thinking skills demonstrating an analytical and systematic approach to problem-solvingExperience working in a global virtual environmentExcellent written and verbal communication skills including preparation and delivery of presentationsGood judgment tact and decision-making abilityAbility to understand and integrate cultural differences and motives while working with cross-cultural teamsAbility to deal with ambiguity and change exercising appropriate time management to meet objectivesAbility to work autonomously as well as within a team environment when necessaryWhat we offer you
The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines which may not be a direct conversion of published US salary ranges. At EY well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $152700 to $294000. The base salary range for New York City Metro Area Washington State and California (excluding Sacramento) is $183300 to $334100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education experience knowledge skills and addition our Total Rewards package includes medical and dental coverage pension and 401(k) plans and a wide range of paid time off options.Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external client serving roles to work together in person 40-60% of the time over the course of an engagement project or year.Under our flexible vacation policy youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays Winter / Summer breaks Personal / Family Care and other leaves of absence when needed to support your physical financial and emotional well-being.Are you ready to shape your future with confidence Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY Building a better working world
EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.
Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
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Key Skills
SAP BusinessObjects,Enterprise Architecture,Hybris,SAP HANA,SAP,TOGAF,Solution Architecture,Cloud Architecture,SAP BW 4HANA,Salesforce,SAP S / 4HANA,SAP ERP
Employment Type : Full Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 152700 - 294000