Cybersecurity Enterprise Data Architect Job at Fort Worth Staffing in Fort Worth

EY Cybersecurity Enterprise Data Architect

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. In today's 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 EY's 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 team's 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 400,000 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 EY's 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 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

Travel requirements < 10%

Skills and Attributes for Success

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

Ideally, you'll also have one or more:

Security certifications such as CISSP or CISM

TOGAF or AI architecture framework

SANS Certifications including G