Senior Manager, Data Engineering

atKIPP FoundationRemoteUS flagUnited StatesFull-timeData EngineerSenior$120k – $145k/year

Posted 3 days ago

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

📋 Description

• Develop, oversee, and enhance data engineering pipelines.

• Oversee operations of the data platform.

• Collaborate with stakeholders to gather requirements and establish data solution architecture.

• Take ownership of the comprehensive delivery of data architecture and pipeline solutions, covering planning, requirements gathering, design, construction, and testing.

• Design and refine the semantic layer to serve as a governed single source of truth for business intelligence.

• Lead the planning and operations of sprints.

• Manage the execution of sprints, planning for releases, and actual delivery of releases.

• Monitor metrics related to sprint delivery, operational efficiency, and DevOps performance.

• Create and implement data quality frameworks that include monitoring, alerting, root cause analysis, troubleshooting, and resolution.

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

• Oversee and continuously enhance data architecture and pipelines, ensuring adherence to 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, monitor, and execute project plans while managing competing priorities.

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

• Mentor team members in creating data solutions, practicing data quality, adhering to review standards, and maintaining documentation.

• Supervise and develop one or more FTE or contractor team members through setting expectations, providing feedback, and coaching.

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


⛳️ Requirements

• Strong passion for and commitment to KIPP’s mission, with the ability to uphold KIPP’s Core Values.

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

• Skilled in creating and implementing project plans, managing competing priorities, delegating effectively, and overseeing knowledge management.

• Capable of building and maintaining knowledge management systems and documenting processes.

• Excellent problem-solving skills, initiative, foresight in risk management, and proactive solution development abilities.

• Experience in developing and coaching team members, as well as managing performance and development objectives.

• Proficient in SQL, Spark, PySpark, SQL Server, Fabric/Snowflake, CI/CD, ETL/data pipelines, version control, SSIS, agile sprint operations, project management tools, and principles of machine learning.

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

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

• Experience in managing agile sprint operations and DevOps metrics.

• Proficient in JIRA or a similar tool for project and sprint planning, backlog management, tracking, workflow management, and resolving issues.

• Familiarity with Git and CI/CD platforms such as 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.

• Experience in mentoring and managing data engineers.

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

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

• Master’s degree preferred.

• This is a full-time, exempt position.


🏝️ Benefits

• 25 holidays.

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

• 100% paid parental leave.

• Full coverage of the employee's medical, dental, and vision plan premiums.

• 75% coverage of the employee + family medical, dental, and vision plan premiums.

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

• 401(k) retirement plan with a 4% match.

• Employer-sponsored legal plans.

• Life and disability insurance.

• Flexible spending accounts.

• Option for remote office work.

• Minimal travel requirement (10%, approximately 20 days per year).

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