Cybersecurity Enterprise Data Architect

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.

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

• 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, No
  
  SQL, 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, Service Now 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+…