Cybersecurity Enterprise Data Architect Job at EY in City of Rochester

Cybersecurity Enterprise Data Architect – EY

Join EY’s Security Technology Services (STS) group to modernize and design data systems that enable trustworthy and explainable AI applications while ensuring security and compliance.

Your Key Responsibilities

• Interpret and deliver strategic plans that improve data integration, quality, and delivery in support of business initiatives.
• Define and implement long‑term technology strategy and innovation roadmaps across analytics, data engineering, and data platforms.
• Collaborate closely with Strategy and senior business stakeholders to secure strong engagement and align delivery with strategic roadmaps.
• Connect with key stakeholders, cybersecurity experts, and operational teams to create scalable security solutions.
• Translate high‑level business requirements into data models, metadata, test data, and data quality standards.
• Simplify existing data architecture, delivering reusable services and cost‑saving opportunities in line with company policies.
• Establish and maintain governance frameworks that ensure data integrity, security, and compliance across all data systems, integrating risk management principles.
• Collaborate with Enterprise Architects to align solutions with company long‑term goals and design guidelines.
• Work with IT, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions.
• Lead the development of secure semantic retrieval‑augmented generation (RAG) architectures that manage and interconnect structured and 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.
• Architect and implement data lake houses, master data management (MDM) solutions, and modern cloud migration processes.
• Produce robust governed analytics solutions using tools such as Databricks and Microsoft Synapse.
• Provide technical leadership, mentorship, and guidance to technical teams, fostering a culture of innovation and continuous learning.

Travel Requirements

Travel may be required to support cross‑functional initiatives and client engagements.

Skills And Attributes For Success

• Experience leading data architecture activities and initiating new ideas.
• Skilled in guiding solution architecture development and strategic direction.
• Creative and innovative thinking style.
• Expertise in Microsoft Synapse, Azure Data Lake/Factory, Databricks, Archer, and GRC or IRM solutions.
• Strong programming skills in Java, Python, C/C++ and data science tools such as SQL, R, SAS, or Excel.
• Deep knowledge of modern data architectures, cloud services (AWS, Azure, GCP), real‑time data distribution (Kafka, Dataflow), and data warehouse tools (Snowflake, Databricks).
• Experience with database technologies: SQL, NoSQL, Oracle, Hadoop, Teradata.
• Understanding of entity‑relationship modeling, metadata systems, and data quality tools.
• Proficiency in business intelligence tools: ETL, Power BI, Tableau.
• Strong analytical and problem‑solving skills.
• Exposure to Sentinel, ServiceNow CMDB, APM, and ITSM databases.
• In‑depth security knowledge, including:
  • 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 applying security controls across programming languages and frameworks.
• Quick learner able to gain expertise in new technology areas swiftly.
• Flexible and capable of adapting to an ever‑changing technology landscape.
• Proven track record fostering client‑service relationships and valuing internal customers.
• Exceptional communication and presentation abilities, engaging executive leadership.
• Ability to synthesize and communicate complex information to senior management.
• Ability to collaborate and excel in complex, cross‑functional teams involving data scientists, business architects, and stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or equivalent work experience.
• 16+ years of experience in Information Technology, 8+ years in senior data architecture, and 6+ years in 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 certifications.
• SANS certifications including GSEC, ECSA, ECSP.

What We Look For

• Deep critical thinking skills demonstrating an analytical and systematic approach to problem‑solving.
• Experience working in a global virtual environment.
• Excellent written and verbal communication skills; preparation and delivery of presentations.
• Good judgment, tact, and decision‑making ability.
• Ability to understand and integrate cultural differences while working with cross‑cultural teams.
• Ability to deal with ambiguity and change, exercising appropriate time management to meet objectives.
• Ability to work autonomously as well as within a team environment when necessary.

What We Offer You

• Comprehensive compensation and benefits package; base salary range for the US: $152,700 – $294,000.
• Competitive medical, dental, pension, and 401(k) plans, along with paid time off and flexible vacation policy.
• Hybrid work model: 40–60% on‑site collaboration for external client‑serving roles.
• Ongoing professional development and exposure to emerging technologies across EY’s global network.

Equal Employment Opportunity Statement

EY provides equal employment opportunities to all applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation for qualified individuals with disabilities.