Security Engineer

• 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

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