Senior Manager, Data Engineering

KIPP • N/A, N/A

17h • $104,000 - $123,500 • Remote

About The Position

This role is responsible for creating, managing, and optimizing data engineering pipelines, managing data platform operations, and partnering closely with stakeholders to drive requirements-gathering and defining data solution architecture. This is a hands-on role that creates, drives, and tracks project plans for data platform and solutions delivery (including, but not limited to, ETL/Extract-Transform-Load, pipelines, data models, and monitoring controls) and leads sprint planning and completion to meet business needs while implementing and continuously improving solutions. The Senior Manager, Data Engineering reports to the Senior Director of Data Management & Governance.

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-based data warehouse/lakehouse platforms, such as Fabric/OneLake, Snowflake, or Databricks.
• Demonstrated experience in managing agile sprint operations, DevOps metrics, and proficiency in JIRA (or similar tool) for project and sprint planning, sprint and backlog management, sprint tracking, workflow management, and issue resolution.
• Experience with version control and CI/CD workflows using Git and platforms, such as Bitbucket, GitHub, and Azure DevOps.
• Strong technical proficiency in SSIS, Spark, PySpark, and SQL.
• Demonstrated experience managing data platform operations and building/managing ETLs and pipelines.
• Experience managing and mentoring data engineers.
• Understanding of Machine Learning (ML) workflows and ML/AI enablement for data platforms.
• Experience with SQL Server and MS Fabric/OneLake preferred.
• Bachelor’s degree in data engineering, computer science, or a related field.

Nice To Haves

• Master’s degree preferred.

Responsibilities

• Own and drive the end-to-end delivery of data architecture and pipeline solutions, including holistic planning, requirements-gathering, design, build, and testing strategy per assessed business needs.
• Design and evolve the semantic layer to be the well-governed single source of truth for business intelligence and ensure it is meeting all reporting needs.
• Lead sprint planning and operations. Manage sprint execution, release planning and release delivery, ensuring aligned planning, timely outcomes, and resolution of dependencies and blockers to drive operational excellence.
• Track and analyze sprint delivery metrics, sprint operational efficiency, and DevOps performance (e.g., DevOps Research and Assessment framework) to support continuous improvement.
• Design and operationalize data quality framework to ensure trust and consistency in data, with proactive monitoring, alerting, root cause analysis (including troubleshooting and resolution) with impact and sizing assessments for all critical data pipelines.
• Establish foundational capabilities for MLOps (Machine Learning Operations), Machine Learning, and feature engineering along with ML/AI platform integration as organizational needs mature.
• Manage and continuously improve data architecture and pipelines, establishing clear monitoring standards and operational controls.
• Partner closely with stakeholders on the Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy teams to lead communication and own, create, drive, track, and execute project plans for owned workstreams, effectively managing competing priorities to ensure data availability and accuracy for users.
• Ensure transparency into progress, risks, and dependencies through consistent tracking and communication mechanisms.
• Guide team member(s) on developing data solutions, promoting strong data quality practices and review standards, and ensuring up-to-date documentation.
• Manage and develop one or more team members (FTEs or contractors) as needed, providing clear expectations, timely feedback, and coaching to support performance and accountability for results.

Benefits

• 25 holidays for + 18 days additional flexible PTO days (flexible PTO increases to 23 days for years 3 and 4 and to 28 days for years 5+).
• 100% paid parental leave
• 100% coverage of the premium for employee and 75% for employee + family’s medical/dental/vision plans.
• Wellness benefits such as fitness reimbursements, discounted tickets to theme parks/attractions, backup care support for children and adults/elders, and our employee assistance program
• Finance Security benefits include such as a 401K retirement plan with 4% match, employer-sponsored legal plans, life/disability insurance, and flexible spending accounts

What This Job Offers

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