Senior Manager, Data Engineering

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $104k - $123.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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KIPP Foundation

WebsiteLinkedInAll Job Openings

51 - 200 employees

📚 Education

🤝 Non-profit

🌍 Social Impact

Education • Non-profit • Social Impact

KIPP Foundation is a national network of public charter schools committed to providing K-12 education. The foundation focuses on education reform, aiming to equip students with the necessary skills and confidence to shape their futures and contribute positively to their communities. With a vision of 'Together, A Future Without Limits', KIPP strives to create an inclusive and empowering educational environment for all students.

📋 Description

• Own and drive end-to-end delivery of data architecture and pipeline solutions, including planning, requirements gathering, design, building, and testing • Design and evolve the semantic layer as a governed single source of truth for business intelligence and reporting • Lead sprint planning and operations, including sprint execution, release planning, release delivery, and dependency/blocker resolution • Track sprint delivery metrics, operational efficiency, and DevOps performance to support continuous improvement • Design and operationalize data quality frameworks with monitoring, alerting, root cause analysis, troubleshooting, resolution, impact assessment, and sizing for critical pipelines • Establish foundational MLOps, machine learning, feature engineering, and ML/AI platform integration capabilities • Manage and continuously improve data architecture and pipelines, monitoring standards, and operational controls • Partner with Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy teams • Create, drive, track, and execute project plans while managing competing priorities • Ensure transparency into progress, risks, and dependencies through consistent tracking and communication • Guide team members in developing data solutions, data quality practices, review standards, and documentation • Manage and develop team members or contractors through expectations, feedback, and coaching

🎯 Requirements

• Passion and commitment to KIPP’s mission and ability to uphold KIPP’s Core Values • Demonstrated self-management across multiple workstreams and ability to drive outcomes through direct reports and peers • Ability to create and execute project plans, manage competing priorities, delegate effectively, and maintain knowledge management systems • Ability to build, align, and maintain goals, project plans, processes, and knowledge management systems • Independent problem-solving, initiative, risk anticipation, and proactive solution development • Experience developing and coaching teammates, setting performance and development goals, and providing actionable feedback • Knowledge and skills in SQL, Spark, PySpark, on-premises and cloud-based data platform management and architecture, 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 • Experience with SQL-based data platforms such as SQL Server and modern cloud data warehouse/lakehouse platforms such as Fabric/OneLake, Snowflake, or Databricks • Experience managing agile sprint operations and DevOps metrics • Proficiency in JIRA or a similar project and sprint planning tool • Experience with Git-based version control and CI/CD platforms such as Bitbucket, GitHub, and Azure DevOps • Strong technical proficiency in SSIS, Spark, PySpark, and SQL • Experience managing data platform operations and building/managing ETLs and pipelines • Experience managing and mentoring data engineers • Understanding of 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 • Master’s degree preferred • Low travel requirement: 10% (20 days per year)

🏖️ Benefits

• 25 holidays • 18 days additional flexible PTO days, increasing to 23 days for years 3 and 4 and 28 days for years 5+ • 100% paid parental leave • 100% coverage of the premium for employee medical/dental/vision plans • 75% coverage of the premium for employee + family medical/dental/vision plans • Fitness reimbursements • Discounted tickets to theme parks/attractions • Backup care support for children and adults/elders • Employee assistance program • 401K retirement plan with 4% match • Employer-sponsored legal plans • Life/disability insurance • Flexible spending accounts • Option to work from a remote office full-time