Senior Manager Data Engineering

Job Summary

The Sr Manager of Data Engineering leads the delivery and operational excellence of enterprise data platforms, integration services, and engineering capabilities. This role is accountable for building scalable, secure, and reliable data foundations that enable analytics, governance, and business priorities across the organization. The position provides leadership across platform operations, engineering standards, delivery execution, and team development, while partnering closely with Analytics, Governance, Information Security, and business stakeholders to support compliance requirements, service reliability, and operational efficiency.

• Lead day-to-day execution and continuous improvement of enterprise data engineering capabilities and platform services.
• Lead architecture and engineering decisions for scalable, secure, and resilient data platforms.
• Drive modernization of data ecosystems through practical improvements to cloud and Lakehouse-based platforms.
• Own platform performance, reliability, cost efficiency, and service maturity.

• Oversee delivery of enterprise data pipelines, integrations, and shared engineering services.
• Ensure production-ready data assets and engineering solutions meet service, quality, and security expectations.
• Establish and enforce engineering standards, design patterns, and operational best practices.
• Manage delivery planning, backlog prioritization, dependencies, and execution across multiple initiatives.

• Define enterprise standards for ingestion, transformation, orchestration, monitoring, and supportability.
• Embed governance, metadata, lineage, and data quality practices into engineering workflows.
• Enable reusable frameworks, accelerators, and tooling that improve delivery consistency and scale.

• Lead, mentor, and develop data engineering managers, technical leads, and individual contributors.
• Drive performance management, succession planning, capability building, and career development.
• Manage hybrid teams composed of internal employees, external partners, contractors, and offshore or nearshore resources to ensure coordinated delivery, accountability, and consistent operating practices.
• Support organizational design, hiring, and workforce planning to meet evolving platform and delivery needs.

• Ensure data quality, control, and observability standards are embedded across pipelines and platform services.
• Partner with governance, privacy, and security leaders to support regulatory compliance, audit readiness, and risk mitigation.
• Champion engineering practices that protect sensitive data and support enterprise governance objectives.

• Partner with analytics, governance, security, infrastructure, and business leaders to align engineering priorities with enterprise needs.
• Translate business demand into scalable engineering solutions, delivery plans, and operational priorities.

• Define and track engineering KPIs related to reliability, throughput, quality, service, and cost.
• Drive continuous improvement across engineering processes, platform operations, and delivery performance.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 8–12 years of progressive experience in data engineering, data integration, data platform delivery, or enterprise data architecture.
• 5–8 years of leadership experience managing data engineering teams, technical leads, or managers in a complex enterprise environment.
• Experience managing hybrid delivery teams that include internal staff, external vendors,…