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CR
Technical Lead, Data Platform
Crane Worldwide LogisticsUnited 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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