Cybersecurity Enterprise Data Architect jobs in United States
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EY · 1 day ago

Cybersecurity Enterprise Data Architect

EY is a globally connected powerhouse of diverse teams dedicated to shaping a better working world. They are seeking a highly skilled Cybersecurity Enterprise Data Architect to focus on modernizing and designing secure data systems that enable trustworthy AI applications while ensuring compliance and security.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
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H1B Sponsor Likelynote

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 company's 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 organization’s 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 Microsoft’s 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

Qualification

Generative AISecure data architecturesCloud platformsData governanceData modelingMicrosoft SynapseAzure Data Lake/FactoryDatabricksProgramming languagesDatabase technologiesBusiness intelligence toolsAnalytical skillsClient-service relationshipsProblem-solving skillsCommunication skillsTeam collaboration

Required

Experience leading data architecture activities and initiating new ideas
Skilled in guiding the development and strategic direction of solution architecture
Creative, innovative thinking style
Skilled in Microsoft Synapse, Azure Data Lake/Factory, Databricks, Archer, GRC or IRM solutions
Strong ability in programming languages such as Java, Python, and C/C++
Ability in data science languages/tools such as SQL, R, SAS, or Excel
Proficiency 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 Teradata
Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
Ability to assess traditional and modern data architecture components based on business needs
Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
Ability to regularly learn and adopt new technology, especially in the ML/AI realm
Strong analytical and problem-solving skills
Exposure to Sentinel, ServiceNow CMDB, APM and ITSM Databases
Profound 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 standards
Knowledge of secure software development lifecycle (SSDLC) processes
Practical experience in applying security controls across various programming languages and frameworks
Quick learner, able to gain expertise in new technology areas swiftly
Flexible and capable of adapting to the ever-changing landscape of technology and global complexities
Proven track record in fostering client-service relationships and valuing internal customers
Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business architects, business analysts, and stakeholders
Ability to guide solution design and architecture to meet business needs
Exceptional communication and presentation abilities, effectively engaging executive leadership
Consideration for the perspectives of diverse audiences, both technical and non-technical
Experience in crafting security architecture documentation, including vision statements, Conceptual Architecture, Logical and Solution Architecture artifacts
Aptitude for identifying and implementing opportunities for cybersecurity improvements and transformations
Bachelor's degree in Computer Science, Engineering, or equivalent work experience
16+ years of experience in the Information Technology field
8+ years of senior data architecture experience, with exposure to enterprise architecture teams
6+ years of experience working with Data modeling, governance and taxonomy

Preferred

Security certifications such as CISSP or CISM
TOGAF or AI architecture framework
SANS Certifications including GSEC, ECSA, ECSP

Benefits

Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being

Company

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

H1B Sponsorship

EY has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10242)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)

Funding

Current Stage
Late Stage

Leadership Team

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Jonathan Williamson
Chief Operating Officer
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Abhishek Sen
Partner
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Company data provided by crunchbase