Senior Manager, Data Engineering

KIPP Foundation

. Create, manage, and optimize data and BI platforms .

Posted 10/28/2026full-timeRemote • United StatesSenior💰 $120,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and BI platform management, including the design and optimization of data pipelines, ETL processes, and data architecture. Proven ability to lead teams, manage projects, and ensure data quality and governance standards.

Highest-signal resume keywords

Data Pipeline DevelopmentETL ProcessesSQL ProficiencyTableau ManagementCloud-Based Data Platforms

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLSparkPySparkETLData ArchitectureCI/CDSSISData ModelingMachine Learning PrinciplesVersion Control

Soft Skills

Problem-SolvingCoachingProject ManagementKnowledge ManagementStakeholder Communication

Tools & Technologies

TableauSQL ServerFabric/OneLakeSnowflakeDatabricksGitBitbucketGitHubGitLabAzure DevOps

Industry Keywords

Data EngineeringBusiness IntelligenceData Quality FrameworkAgile Sprint OperationsData Governance

Tech Stack

Tools & technologies

AzureCloudETLPySparkSnowflakeSparkSQLSSISTableau

About the role

Key responsibilities & impact

Create, manage, and optimize data and BI platforms
Partner with stakeholders to gather requirements and define data solution architecture
Build and deliver data pipeline solutions, including ETL pipelines, data models, and monitoring controls
Create, drive, and track project plans for BI platform and Data Engineering solutions
Lead sprint planning and completion for assigned pipelines and workstreams
Own end-to-end delivery of data architecture and pipeline solutions, including planning, requirements gathering, design, building, and testing strategy
Design and evolve the semantic layer as a governed single source of truth for business intelligence
Design and operationalize a data quality framework with monitoring, alerting, root cause analysis, troubleshooting, resolution, and impact/sizing assessments
Manage and continuously improve data architecture and pipelines, monitoring standards, and operational controls
Lead planning for Tableau platform management, updates, enhancements, maintenance, and stakeholder communication
Ensure high availability, performance, security, operations, and governance standards for data/BI platforms
Establish and evolve foundational AI-enabled analytics capabilities in the BI platform
Partner with Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy teams
Execute project plans, manage competing priorities, and ensure data availability and accuracy
Lead sprint execution and release delivery, resolving dependencies and blockers
Track and communicate progress, risks, and dependencies
Guide team members in developing data and BI solutions, validation, quality checks, and documentation
Manage and develop one or more FTE or contractor team members through expectations, feedback, and coaching

Requirements

What you’ll need

Passion and commitment to KIPP’s mission and ability to uphold KIPP’s Core Values
Demonstrated ability to co-create ambitious goals, monitor progress across multiple workstreams, and drive outcomes
Ability to create and execute project plans while managing competing priorities
Knowledge management skills
Ability to build and maintain knowledge management systems and codify processes
Problem-solving skills, initiative, risk anticipation, and proactive solution development
Experience developing and coaching teammates
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
Experience with modern cloud-based data warehouse/lakehouse platforms such as Fabric/OneLake, Snowflake, or Databricks, including building and managing ETL/pipelines
Experience managing and mentoring data engineers
Strong technical proficiency in SSIS, Spark, PySpark, and SQL
Demonstrated experience managing Tableau infrastructure and operations, on-premises and cloud
Experience with version control and CI/CD workflows using Git and platforms such as Bitbucket, GitHub, GitLab, or Azure DevOps
Experience with SQL Server and MS Fabric/OneLake preferred
Bachelor’s degree in data engineering, computer science, information systems, or a related field preferred
Master’s degree preferred
Low travel requirement: 10% (20 days per year)
Full, exempt role

Benefits

Comp & perks

25 holidays
18 days additional flexible PTO days, increasing 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 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
Remote office full-time option