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Technical Lead, Data Platform

Crane Worldwide Logistics
United Statesfull_timeVerifiedPosted 19 Dec 2025

About the role

ESSENTIAL JOB FUNCTIONS

Architecture & Design Leadership

  • Define platform and data architecture direction in partnership with other tech leads and senior engineers
  • Lead and guide the engineers to do design reviews through RFCs, peer discussion, and structured technical feedback
  • Represent the team in cross-domain technical forums (schemas, Kafka workflows, data governance, etc.)
  • Establish repeatable patterns and engineering best practices that raise the engineering bar across the organization

Backlog & Delivery

  • Partner with engineering and product stakeholders to run backlog processes and set clear priorities
  • Lead sprint planning, including effort estimation, team allocation, and acceptance criteria (definition of done)
  • Facilitate daily stand-ups and drive active engagement and accountability
  • Maintain and facilitate consistent PR review throughput and ensure healthy peer review practices

Operational Excellence

  • Own SLA-setting and reviews in collaboration with engineering management
  • Maintain and improve runbooks, on-call documentation, and incident workflows
  • Act as incident commander during P0/P1 events and coordinate cross-functional response
  • Ensure post-incident reviews lead to measurable improvements in reliability and observability

Technical Contribution

  • Balance technical leadership with direct contributions to the codebase, spending meaning fulltime on hands‑on coding to remain close to implementation details.
  • Ship critical-path features and guide others in delivering scalable, maintainable solutions
  • Mentor engineers through pairing, code reviews, and knowledge-sharing

Documentation & Knowledge Management

  • Maintain up-to-date documentation for runbooks, RFCs, architectural decisions, and incident workflows
  • Promote a documentation-first, async-friendly culture that supports distributed collaboration

Mentorship & Coaching

  • Mentor engineers to deliver independently by helping them break down ambiguous problems and scope work effectively
  • Provide technical guidance and clarify project direction as needed
  • Foster a culture of collaboration and teamwork by pairing with engineers on complex challenges and on-call issues
  • Coach engineers on writing RFCs and presenting technical designs to broader audiences

Leadership Expectations

  • Be confident and data driven in decision-making
  • Advocate for engineering best practices even when inconvenient
  • Balance coding time with leadership, facilitation, and mentoring
  • Foster a culture of clear documentation, healthy debate, and ownership
  • Communicate proactively across teams and functions

OTHER SKILLS & ABILITIES

  • Track record of leading architectural decisions and driving technical alignment across teams
  • Excellent communication skills with the ability to facilitate technical discussions and drive decisions
  • Strong documentation habits and commitment to reducing tribal knowledge
  • Data warehouses: Snowflake
  • Observability: Prometheus, Grafana, PagerDuty, Data quality/governance experience Schema management: Schema Registry, Protobuf, Avro

PREFERRED QUALIFICATIONS

  • Languages: Python or any other higher-level programming language, proficiency in SQL
  • Streaming: Kafka, redpanda or any other streaming service
  • Batch: dbt or equivalent tool
  • Cloud: AWS/GCP/Azure
  • Databases: PostgreSQL or equivalent
  • Infrastructure: Kubernetes, Docker, Terraform, docker
  • CI/CD: Git, GitHub, GitHub Actions

EDUCATION & EXPERIENCE

  • Bachelor's Degree in Information Technology, Math, or related field; Equivalent experience will be considered
  • High School Diploma or GED equivalency required
  • 4+ years of software engineering experience in data platform and infrastructure
  • Deep experience building and operating large-scale data platforms or distributed data systems
  • Strong proficiency in backend languages commonly used in data engineering (e.g., Python,Java, Scala, Go)
  • Hands-on experience with streaming technologies (Kafka, Redpanda, Materialize, or similar) and data pipeline orchestration

Certification and Licenses

  • Professional certification may be required in some cases

Physical Requirements

  • Job may require extended sitting or standing, use of standard office equipment.

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Company

Crane Worldwide Logistics

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