Senior Manager, Data Engineering
About The Position
The Senior Manager, Data Engineering creates, manages, and optimizes data engineering pipelines and data platform operations, partnering with stakeholders to gather requirements and define data solution architecture. This is a hands-on role responsible for planning and delivering data platform solutions, including ETL, pipelines, data models, and monitoring controls. The role leads sprint planning and execution, develops project plans, and continuously improves solutions to meet organizational needs. It reports to the Senior Director of Data Management & Governance. The role owns end-to-end delivery of data architecture and pipeline solutions, establishes a well-governed semantic layer as a single source of truth for business intelligence, and develops data quality and monitoring capabilities. It also establishes foundational MLOps, machine learning, and feature-engineering capabilities as organizational needs mature. The Senior Manager partners across analytics, application development, data collection, IT operations, product management, and regional data teams, while guiding and developing team members.
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 and modern cloud data warehouse or lakehouse platforms, such as SQL Server, Fabric/OneLake, Snowflake, or Databricks.
- Experience managing agile sprint operations and DevOps metrics, and proficiency with JIRA or a similar tool for project and sprint planning, backlog management, tracking, workflow management, and issue resolution.
- Experience with version control and CI/CD workflows using Git and platforms such as Bitbucket, GitHub, or Azure DevOps.
- Strong technical proficiency in SSIS, Spark, PySpark, and SQL.
- Demonstrated experience managing data platform operations and building and managing ETLs and pipelines.
- Experience managing and mentoring data engineers.
- Understanding of machine learning workflows and ML/AI enablement for data platforms.
- Bachelor’s degree in data engineering, computer science, or a related field.
- Skills in project planning, stakeholder partnership, prioritization, process management, problem-solving, knowledge management, and developing and coaching teammates.
- Passion for and commitment to KIPP’s mission and ability to uphold its core values.
Nice To Haves
- Experience with SQL Server and MS Fabric/OneLake.
- Master’s degree.
Responsibilities
- Own 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 reporting.
- Lead sprint planning and operations, manage execution and releases, resolve dependencies and blockers, and track sprint, operational efficiency, and DevOps performance metrics.
- Design and operationalize data quality frameworks, including proactive monitoring, alerting, root-cause analysis, troubleshooting, resolution, and impact and sizing assessments for critical pipelines.
- Establish foundational capabilities for MLOps, machine learning, feature engineering, and ML/AI platform integration as organizational needs mature.
- Manage and continuously improve data architecture and pipelines, including monitoring standards and operational controls.
- Partner with cross-functional stakeholders to plan, communicate, and execute workstreams while managing competing priorities and ensuring data availability and accuracy.
- Maintain transparency into progress, risks, and dependencies through consistent tracking and communication.
- Guide team members in developing data solutions, strong data quality practices, review standards, and current documentation.
- Manage and develop one or more employees or contractors through clear expectations, timely feedback, and coaching.
Benefits
- 25 holidays and 18 additional flexible PTO days, increasing to 23 days in years 3 and 4 and 28 days in years 5 and beyond.
- 100% paid parental leave.
- 100% coverage of the employee medical, dental, and vision plan premiums, and 75% coverage for employee-plus-family premiums.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
