Lead Specialist, Engineering and Virtualization II

About the Role

We are seeking a highly skilled and experienced Lead Specialist, Engineering and Virtualization II to join our dynamic team. In this pivotal role, you will be responsible for leading the design, implementation, and optimization of advanced data virtualization and semantic layer solutions. Your expertise will be instrumental in enhancing data accessibility, performance, and security across our enterprise ecosystem. This position demands a strategic leader with a proven track record in delivering high-impact data engineering solutions and fostering cross-functional collaboration.

Key Responsibilities

• Strategic Leadership: Provide technical leadership and direction to engineering teams, ensuring the delivery of robust, scalable, and secure data virtualization solutions. Guide vendors and stakeholders through complex technical challenges to achieve enterprise-wide objectives.
• Solution Architecture: Design and implement data virtualization architectures, including abstraction, federation, and semantic layers, to enable seamless data integration and consumption. Optimize query performance and implement effective caching strategies to enhance system efficiency.
• Production Support: Oversee the operational support of production data access services, ensuring adherence to performance, security, and reliability requirements. Troubleshoot issues, perform root cause analysis, and implement corrective actions to maintain high availability and service levels.
• Governance and Security: Develop and enforce access governance policies, auditing mechanisms, and security controls to safeguard sensitive data. Collaborate with governance teams to align data services with enterprise standards and regulatory requirements.
• Stakeholder Engagement: Act as a liaison between business intelligence (BI) teams, application teams, and governance stakeholders to ensure data services are aligned with user needs and enterprise definitions. Facilitate clear communication and alignment to drive successful project outcomes.
• Continuous Improvement: Drive initiatives to enhance the performance, cost-efficiency, and operability of data services. Identify opportunities for innovation and process optimization to deliver sustained value to the organization.

Qualifications and Experience

To excel in this role, you must possess a Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field. A minimum of 7–10 years of hands-on experience in data engineering or integration is required, with a strong focus on delivering virtualization or semantic layer solutions. Your background should include supporting production data access services with a keen emphasis on performance, security, and reliability.

Core Competencies

• Ownership & Accountability: Demonstrate end-to-end ownership for the delivery of solutions, ensuring accountability for outcomes and continuous alignment with business objectives.
• Collaboration: Foster effective partnerships across engineering, governance, and business teams to drive cohesive and integrated solutions.
• Execution Excellence: Deliver high-quality, reliable solutions that meet enterprise standards and exceed performance expectations.
• Continuous Improvement: Proactively identify and implement enhancements to optimize performance, reduce costs, and improve operability over time.
• Impact & Influence: Leverage technical expertise to guide teams and vendors, influencing decisions and driving alignment with strategic goals.

Required Skills

• In-depth knowledge of data virtualization concepts, including abstraction, federation, and semantic layers.
• Expertise in query optimization and caching strategies to enhance data service performance.
• Strong understanding of access governance, auditing, and security controls for data access services.
• Ability to design and implement consumable data services that align with enterprise definitions and models.
• Proven experience in operational support, troubleshooting, and performance tuning for production data services.
• Exceptional stakeholder management skills, with the ability to engage effectively with BI teams, application teams, and governance stakeholders.