Senior Technical Program Manager, Data Engineering

. Lead a multi-quarter portfolio of data platform modernization programs spanning CDC/Kafka/Flink ingestion, Hive-to-Iceberg migrations, workflow consolidation, and legacy system deprecation .

Posted 9/23/2026full-timeSan Francisco • California • United StatesSenior💰 $123,684 - $254,644 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading complex technical programs focused on data platform modernization, including proficiency in managing cross-functional teams and executing data infrastructure strategies. Strong analytical skills are essential for building dashboards, interpreting data, and ensuring compliance with AI governance standards.

Highest-signal resume keywords

Technical Program ManagementData Platform ModernizationKafka ExperienceGenAI FluencyAI Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionWorkflow ConsolidationDashboard BuildingData AnalysisRisk AssessmentStreaming SystemsBatch PipelinesTable FormatsStorage LayersWorkflow Orchestrators

Soft Skills

CollaborationCommunicationAnalytical Problem-SolvingAdaptabilityStakeholder Management

Tools & Technologies

KafkaFlinkIcebergGenAIAI-Assisted Dashboards

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering

Industry Keywords

Data InfrastructureModernization ProgramsCross-Functional TeamsRisk GovernanceCompliance

Tech Stack

Tools & technologies

Kafka

About the role

Key responsibilities & impact

Lead a multi-quarter portfolio of data platform modernization programs spanning CDC/Kafka/Flink ingestion, Hive-to-Iceberg migrations, workflow consolidation, and legacy system deprecation
Drive cross-team execution on migrations involving producer and consumer teams, managing timelines, dependencies, and risks
Build and maintain program dashboards and reporting for progress, validated savings, risks, and decisions
Own reporting and tracking for a data infrastructure efficiency portfolio with team DRIs and finance/InfraGov stakeholders
Communicate technical tradeoffs and program status to technical and non-technical audiences, including senior leadership
Use GenAI to create program artifacts, modernize workflows, synthesize status, extract actions and decisions, track risks and dependencies, and surface escalations
Prototype AI-assisted dashboards, data analyses, workflow helpers, and internal tools
Follow Pinterest AI guidance for risk, governance, safety-by-design, sensitive-data handling, output validation, and compliance

Requirements

What you’ll need

5+ years of TPM experience leading complex, cross-functional technical programs
Experience ideally within large-scale data platforms, streaming systems, or data infrastructure modernization
Understanding of large-scale data platforms, including batch/streaming pipelines, table formats, storage layers, and workflow orchestrators
Analytical and problem-solving skills, including dashboard building, data interpretation, and validating savings
Collaboration and communication with senior engineering and business stakeholders
Comfort with ambiguity and shifting priorities across a multi-workstream roadmap
Experience with Kafka, Flink, or Iceberg is a plus
Experience turning repeatable program work into durable, low-toil mechanisms
GenAI fluency, including prompting, vibe coding lightweight scripts/tools, dashboards, data analysis, and leveraging agents
AI governance experience, including risk assessment, data handling, model/output validation, auditability, and traceability
Bachelor's degree in Computer Science, Engineering, a related field or equivalent experience

Benefits

Comp & perks

Equity eligibility
Flexible working model
In-person office collaboration 1–2 times every 6 months
Equal opportunity employment and consideration regardless of protected characteristics
Medical or religious accommodation support during the application process