Data Platform Enablement Practice Lead

TD; Mount Laurel Township (NJ); On-site; USD 124,000 - 200,000; Full time

Job summary

TD in Mount Laurel, New Jersey is seeking a Data Engineering & Platform Enablement leader to design, build, and operate the enterprise technology reference data platform. You will lead onboarding and integration of infrastructure, cloud, AI and enterprise systems into a Databricks-based data fabric, driving reliability and scalable data products.

This role partners across Data Architecture, Governance, Reporting, and Business Intelligence teams, as well as Infrastructure, Cybersecurity, and

Responsibilities

• Lead the design, implementation, and evolution of the Databricks-based technology reference data platform.
• Develop platform standards, engineering patterns, and operating procedures that support enterprise scalability and sustainability.
• Establish a modern data ecosystem capable of supporting governance, reporting, analytics, and AI-driven use cases.
• Drive platform modernization initiatives that improve performance, automation, resilience, and user experience.
• Lead onboarding of technology systems of record into the enterprise data platform.
• Design and implement scalable integration patterns including APIs, event-driven architectures, data streaming, and zero-copy data sharing.
• Establish standards for source system connectivity, transformation, validation, and data movement.
• Partner with source system owners to ensure data is delivered accurately, securely, and efficiently.
• Design, build, and manage data pipelines that transform disparate source data into standardized enterprise data assets.
• Develop reusable ingestion and transformation frameworks that accelerate onboarding of new data sources.
• Implement automated controls to ensure data quality, integrity, completeness, and consistency.
• Optimize data processing and storage solutions to support large-scale technology data domains.
• Establish monitoring and observability capabilities to ensure platform health and data reliability.
• Define operational support processes, service-level agreements, and issue management procedures.
• Lead remediation efforts for data delivery issues, performance bottlenecks, and platform incidents.
• Ensure platform availability, resiliency, and business continuity requirements are met.
• Ensure compliance with enterprise security, data protection, and regulatory requirements.
• Implement access controls, encryption standards, audit logging, and monitoring capabilities.
• Partner with Risk, Security, and Compliance teams to support governance objectives.
• Ensure adherence to enterprise technology and data management standards.
• Support development and operationalization of technology data products.
• Ensure data products are sourced from authoritative systems and delivered through governed engineering processes.
• Build reusable data services supporting reporting, analytics, APIs, and business intelligence platforms.
• Enable self-service access to trusted enterprise technology data where appropriate.
• Partner with Data Architecture, Governance, Reporting, and Business Intelligence teams to deliver integrated solutions.
• Collaborate with Infrastructure, Cybersecurity, Cloud, Engineering, and Enterprise Architecture teams.
• Participate in enterprise governance forums and provide technical leadership on platform capabilities and integration approaches.
• Influence platform and engineering decisions that improve enterprise data maturity.
• Build and lead a high-performing team of data engineers, platform engineers, integration specialists, and DataOps professionals.
• Establish clear team objectives, performance measures, and development plans.
• Foster a culture of accountability, innovation, automation, and continuous improvement.
• Manage team capacity, prioritization, resource allocation, and delivery commitments.
• Ensure engineering teams follow enterprise standards, controls, and best practices.
• Develop technical talent and mentoring programs to strengthen engineering capabilities.
• Promote collaboration across architecture, governance, analytics, and technology teams.
• Provide leadership and guidance to several teams and solve cross-department issues.

Job description

TD in Mount Laurel, New Jersey is seeking a Data Engineering & Platform Enablement leader to design, build, and operate the enterprise technology reference data platform. You will lead onboarding and integration of infrastructure, cloud, AI and enterprise systems into a Databricks-based data fabric, driving reliability and scalable data products.

This role partners across Data Architecture, Governance, Reporting, and Business Intelligence teams, as well as Infrastructure, Cybersecurity, and