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.

Key Responsibilities:
Data Platform & Engineering Leadership
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.

Data Engineering Delivery & Execution
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.

Platform Standards & Enablement
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.

Team Leadership & Development
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.

Data Quality, Governance & Compliance
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.

Cross-Functional Collaboration
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.

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

Required Qualifications:
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, consultants, contractors, and distributed resources.
Demonstrated experience leading data engineering teams, establishing standards and operating practices, and supporting modernization of data platforms and integration capabilities.
Strong expertise with SQL, ETL/ELT patterns, orchestration frameworks, and modern cloud or hybrid data platforms.
Experience leading delivery of scalable data pipelines, integrations, platform operations, and production support with a focus on reliability, performance, and cost efficiency.
Proven ability to manage cross-functional priorities, resource planning, and stakeholder alignment across multiple initiatives and business partners.
Strong communication, executive presence, team development, and collaboration skills.

Preferred Qualifications:
Experience leading cloud or Lakehouse modernization initiatives using platforms such as Azure, AWS, Snowflake, Databricks, or Microsoft Fabric.
Experience working in regulated environments such as healthcare, finance, or other compliance-focused industries with strong governance and security requirements.
Familiarity with Agile delivery models, product-oriented engineering practices, and DevOps or DataOps approaches.
Experience partnering with analytics, governance, security, and business leaders to support platform priorities and enable enterprise data capabilities.

Education and Experience:
Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or a related field, or equivalent combination of education and experience.
Relevant leadership and technical experience should demonstrate the ability to manage data engineering delivery, lead teams, and support reliable enterprise data platform operations.

Physical Demands:
While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or feel.
The employee frequently is required to talk or hear.
The employee is occasionally required to stand.
The employee must occasionally lift and/or move up to 10 pounds.
Specific vision abilities required by this job include close vision.