Lead Engineer, Integrated Planning System

Starbucks

. Own end-to-end delivery of product capabilities across data, services, and UI from concept to production rollout .

Posted 10/3/2026full-timeSeattle • Washington • United StatesSenior💰 $149,500 - $249,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building and operating large-scale, multi-service platforms, with a strong focus on data processing, API development, and AI integration. Proven ability to lead technical decisions, mentor teams, and ensure performance and reliability in complex enterprise environments.

Highest-signal resume keywords

Large-Scale Platform DevelopmentStream Processing with KafkaAPI Development with TypeScript/NodeData Pipeline ReliabilityCloud Services Experience (Azure/AWS/GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KafkaFlinkApache SparkTypeScriptJavaKotlinGoSQL DatabasesNoSQL DatabasesMachine Learning Integration

Soft Skills

Technical LeadershipMentoringCommunication

Tools & Technologies

DatabricksPostgresCassandraDistributed CachingMonitoring Tools

Industry Keywords

Data QualityIdentity GovernanceIncident ResponseSecure DevelopmentAI-Assisted Development

Tech Stack

Tools & technologies

ApacheAWSAzureCassandraGoogle Cloud PlatformJavaKafkaKotlinNode.jsNoSQLPostgresSparkSQLTypeScriptGo

About the role

Key responsibilities & impact

Own end-to-end delivery of product capabilities across data, services, and UI from concept to production rollout
Lead architecture and technical decisions across streaming, big data processing, APIs, data modeling, and user-facing experiences
Establish an AI-enabled development workflow across requirements, design, implementation, code review, documentation, and incident/RCA support
Create reusable prompts, templates, and guardrails for safe, repeatable AI-assisted development
Design and ship AI-assisted decision support with real-time inference, explainability, summarization, alerting, measurable outcomes, and human-in-the-loop controls
Own and evolve API contracts, including validation, naming, backward-compatible changes, and deprecation strategy
Drive data quality and identity governance through reliable master data practices
Own performance and reliability by defining latency/throughput targets, designing failure handling, and maintaining SLOs
Mentor and develop the team through code reviews, pairing, design reviews, and coaching
Translate business needs into technical plans and align with product, program, data, and partner teams
Communicate progress and tradeoffs clearly
Improve service levels, reduce operational costs, and accelerate decision cycles through insights and automation

Requirements

What you’ll need

7+ years building and operating large-scale, multi-service platforms in a complex enterprise environment
Strong experience with Kafka or equivalent and stream processing using Flink, Spark Structured Streaming, or Kafka Streams
Experience building reliable data pipelines, stateful processing, schema evolution, backfills, and idempotent processing patterns
Experience with Apache Spark and Databricks
Experience building production APIs and services using TypeScript/Node, Java/Kotlin, Go, or similar
Experience with caching and performance tuning
Strong experience with NoSQL and SQL databases, including Postgres, Cassandra, or equivalent
Experience with distributed caching, document stores, and/or analytics stores
Understanding of indexing, partitioning, and query optimization
Hands-on experience with Azure, AWS, or GCP, including networking basics, IAM, managed-service tradeoffs, and cost/performance
Experience integrating ML/LLM capabilities into products, including model serving, prompt patterns, evaluation, safety/guardrails, monitoring, and feedback loops
Experience with production monitoring, tracing, alerting, incident response, and defining/meeting SLOs
Secure-by-default development experience, including sensitive data handling, least-privilege access, and auditability
Technical leadership across teams, including design reviews, mentoring, and delivery across ambiguous problem spaces

Benefits

Comp & perks

Medical, dental, and vision insurance
Basic and supplemental life insurance
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation from date of hire
Sick time accrued at 1 hour for every 25 hours worked
Eight paid holidays
Two personal days per year
401(k) retirement plan with employer match
Discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement
Reasonable accommodations for job applicants with disabilities