Senior Manager, Data Engineering

KIPP Foundation

8d • $120,000 - $145,000 • Remote

About The Position

The Senior Manager, Data Engineering is responsible for creating, managing, and optimizing data and business intelligence platforms. The role partners with stakeholders to gather requirements, define data-solution architecture, and build and deliver data pipelines, including ETL processes, data models, and monitoring controls. It is a hands-on position that creates and tracks project plans for BI platform and data-engineering delivery, leads sprint planning and execution for assigned pipelines, and continuously improves solutions to meet business needs.

The role owns end-to-end delivery of data architecture and pipeline solutions, develops a well-governed semantic layer and data-quality framework, and manages platform operations, monitoring, governance, and reliability. It leads planning and stakeholder communications for the Tableau platform and establishes foundational capabilities for AI-enabled analytics. The position works across analytics, application development, data collection, IT operations, product management, and regional data teams. It also guides and develops team members, including employees or contractors as needed.

The position reports to the Senior Director of Data Management and Governance. It is a full-time, exempt role with low travel (10%, or about 20 days per year). The role may be based remotely full-time; location at a KIPP Foundation office in New York City or Chicago is preferred but not required.

Requirements

• 8+ years of professional experience in data engineering, infrastructure engineering, or a closely related technical field.
• Experience with SQL-based data platforms such as SQL Server and modern cloud data warehouse or lakehouse platforms such as Fabric/OneLake, Snowflake, or Databricks, including building and managing ETLs or pipelines.
• Experience managing and mentoring data engineers.
• Strong technical proficiency in SSIS, Spark, PySpark, and SQL.
• Demonstrated experience managing Tableau infrastructure and operations in on-premises and cloud environments.
• Experience with version control and CI/CD workflows using Git and platforms such as Bitbucket, GitHub, GitLab, or Azure DevOps.
• Knowledge of on-premises and cloud-based data platform management and architecture, ETL/data pipelines, agile sprint operations, project management tools, and machine-learning principles.
• Ability to manage work and competing priorities, create and execute project plans, coordinate with stakeholders, and maintain knowledge-management systems and processes.
• Ability to anticipate risks, develop proactive solutions, and coach and provide actionable feedback to teammates.
• Demonstrated commitment to KIPP’s mission and ability to uphold its core values.
• Bachelor’s degree in data engineering, computer science, information systems, or a related field preferred; a master’s degree is also preferred.

Nice To Haves

• Experience with SQL Server and Microsoft Fabric/OneLake.
• Bachelor’s degree in data engineering, computer science, information systems, or a related field.
• Master’s degree.

Responsibilities

• Own end-to-end delivery of data architecture and pipeline solutions, including planning, requirements gathering, design, build, and testing strategy.
• Design and evolve the semantic layer as a well-governed single source of truth for business intelligence and reporting.
• Design and operationalize a data-quality framework, including proactive monitoring, alerting, root-cause analysis, troubleshooting, resolution, and impact and sizing assessments for critical pipelines.
• Manage and continuously improve data architecture and pipelines, establishing monitoring standards and operational controls.
• Lead planning for Tableau platform management, updates, enhancements, maintenance, and stakeholder communication; support availability, performance, and security.
• Ensure data and BI platform operations and governance follow operational best practices.
• Establish and evolve foundational AI-enabled analytics capabilities in the BI platform as organizational needs mature.
• Partner with stakeholders across Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy.
• Create, drive, track, and execute project plans for owned workstreams; manage competing priorities to support data availability and accuracy.
• Lead sprint planning and execution and release delivery for assigned workstreams, addressing dependencies and blockers and ensuring timely outcomes.
• Maintain transparency into progress, risks, and dependencies through consistent tracking and communication.
• Guide team members in developing data and BI solutions, including validation, quality checks, and current documentation.
• Manage and develop one or more employees or contractors as needed by setting clear expectations, providing timely feedback, and coaching for performance and accountability.

Benefits

• 25 holidays and 18 additional flexible PTO days; flexible PTO increases to 23 days for years 3 and 4 and to 28 days for years 5 and later.
• 100% paid parental leave.
• 100% coverage of the employee medical, dental, and vision plan premiums, and 75% coverage for employee-plus-family plans.
• Wellness benefits, including fitness reimbursements, discounted tickets to theme parks and attractions, backup care support for children and adults or elders, and an employee assistance program.
• 401(k) retirement plan with a 4% employer match.
• Employer-sponsored legal plans.
• Life and disability insurance.
• Flexible spending accounts.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior