Senior Manager, Data Engineering

KIPP • N/A, N/A

18h • $120,000 - $145,000 • Remote

About The Position

This hands-on role creates, manages, and optimizes data and business intelligence (BI) platforms. It partners with stakeholders to gather requirements, define data solution architecture, and build and deliver data pipeline solutions, including ETL pipelines, data models, and monitoring controls. The role creates, drives, and tracks project plans for BI platform and data engineering solutions, and leads sprint planning and completion for assigned pipelines to meet business needs while continuously improving solutions. It reports to the Senior Director of Data Management and Governance.

The position owns end-to-end delivery of data architecture and pipeline solutions, develops a governed semantic layer as a single source of truth for BI, and operationalizes data quality frameworks and controls. It leads planning and operations for the Tableau platform, establishes foundational AI-enabled analytics capabilities, and coordinates with teams across analytics, application development, data strategy and operations, IT, product management, and regional data systems. The role also guides and develops team members, and may manage one or more employees or contractors.

The role is full-time and exempt, with low travel of 10% (20 days per year). Working from a KIPP Foundation office in New York City or Chicago is preferred but not required; the role may be performed full-time remotely. The opening is immediate.

Requirements

• At least 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 and pipelines.
• Experience managing and mentoring data engineers.
• Strong technical proficiency in SSIS, Spark, PySpark, and SQL.
• Demonstrated experience and expertise managing Tableau infrastructure and operations, both on-premises and in the cloud.
• Experience with version control and CI/CD workflows using Git and platforms such as Bitbucket, GitHub, GitLab, or Azure DevOps.
• Knowledge and skills in 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 plan and manage competing workstreams, drive projects through stakeholder partnership and delegation, and monitor progress toward goals.
• Ability to develop and codify processes, maintain knowledge management systems, anticipate risks, and recommend solutions.
• Ability to develop and coach teammates, set performance and development goals, provide actionable feedback, and support accountability.
• Passion for KIPP’s mission and ability to uphold its core values of excellent results, collective impact, and courageous action.

Nice To Haves

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

Responsibilities

• Own and drive 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 ensure it meets reporting needs.
• Design and operationalize a data quality framework with proactive monitoring, alerting, root-cause analysis, troubleshooting, resolution, and impact and sizing assessments for critical data pipelines.
• Manage and continuously improve data architecture and pipelines, establishing monitoring standards and operational controls.
• Lead planning for Tableau platform management, updates, enhancements, and maintenance; communicate with stakeholders and ensure availability, performance, and security.
• Ensure data and BI platform operations and governance align with 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; manage communication and execute project plans for owned workstreams.
• Manage competing priorities to ensure data availability and accuracy for users.
• Lead sprint planning and support sprint execution and release delivery, resolving dependencies and blockers and ensuring timely outcomes.
• Track and communicate progress, risks, and dependencies transparently.
• Guide team members in developing data and BI solutions, applying validation and quality checks, and maintaining current documentation.
• Manage and develop one or more employees or contractors as needed, setting clear expectations and providing timely feedback and coaching.

Benefits

• 25 holidays plus 18 additional flexible PTO days; flexible PTO increases to 23 days in years 3 and 4 and 28 days in years 5 and beyond.
• 100% paid parental leave.
• 100% of the employee medical, dental, and vision plan premiums covered; 75% of premiums covered 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
• Education Level: No Education Listed