Senior Manager, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the complete delivery process for data architecture and pipeline solutions, encompassing planning, requirements gathering, design, construction, and testing.

• Develop and enhance the semantic layer to serve as a governed single source of truth for business intelligence and reporting.

• Lead sprint planning and operations, which includes sprint execution, release planning, release delivery, resolving dependencies, and removing blockers.

• Monitor and evaluate sprint delivery metrics, operational efficiency, and DevOps performance to facilitate ongoing improvement.

• Create and implement a data quality framework that includes monitoring, alerting, root cause analysis, troubleshooting, resolution, and impact assessments.

• Establish foundational capabilities in MLOps, machine learning, feature engineering, and ML/AI platform integration.

• Oversee and continuously enhance data architecture and pipelines, monitoring standards, and operational controls.

• Collaborate with Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy teams.

• Develop, drive, track, and implement project plans while managing competing priorities.

• Ensure transparency regarding progress, risks, and dependencies through consistent tracking and communication.

• Mentor team members in creating data solutions, data quality practices, review standards, and documentation.

• Supervise and develop one or more employees or contractors through setting expectations, providing feedback, and coaching.

• Report to the Senior Director of Data Management & Governance.

⛳️ Requirements

• Strong passion for KIPP’s mission and a commitment to uphold KIPP’s Core Values.

• Proven ability to collaboratively create ambitious goals, track progress across multiple workstreams, and drive results.

• Proficient in creating and executing project plans, managing competing priorities, delegating tasks effectively, and maintaining knowledge management systems.

• Capable of establishing and sustaining processes that align with organizational priorities.

• Possess problem-solving skills, initiative, risk anticipation, and the ability to develop proactive solutions.

• Experience in developing and coaching teammates, as well as managing performance and development goals.

• Proficient in SQL, Spark, PySpark, management and architecture of on-premises and cloud-based data platforms, CI/CD, ETL/data pipelines, version control, SSIS, agile sprint operations, project management tools, and machine learning principles.

• 8+ years of professional experience in data engineering, infrastructure engineering, or a closely related technical field.

• Familiarity with SQL-based data platforms and modern cloud-based data warehouse/lakehouse platforms such as Fabric/OneLake, Snowflake, or Databricks.

• Experience in managing agile sprint operations, DevOps metrics, and proficiency in JIRA or similar tools.

• Knowledge of version control and CI/CD workflows utilizing Git and platforms like Bitbucket, GitHub, and Azure DevOps.

• Strong technical skills in SSIS, Spark, PySpark, and SQL.

• Experience in managing data platform operations and developing/managing ETLs and pipelines.

• Proven experience in mentoring data engineers.

• Understanding of ML workflows and ML/AI enablement for data platforms.

• Bachelor’s degree in data engineering, computer science, or a related field.

🏝️ Benefits

• 25 holidays.

• 18 additional flexible PTO days, increasing to 23 days for years 3 and 4, and to 28 days for years 5 and beyond.

• 100% paid parental leave.

• Full coverage of the premium for employee medical/dental/vision plans.

• 75% coverage of the premium for employee + family medical/dental/vision plans.

• Wellness benefits, including fitness reimbursements, discounted tickets to theme parks/attractions, backup care support for children and adults/elders, and an employee assistance program.

• 401K retirement plan with a 4% match.

• Employer-sponsored legal plans.

• Life/disability insurance.

• Flexible spending accounts.

• Low travel requirement: 10% (20 days per year).