Data Platform Engineer, Ops & Reliability bei Crane

ESSENTIAL JOB FUNCTIONS

System Operations & Incident Response

• Monitor and operate pipelines on top of a stack including HVR, Prefect, dbt, Snowflake, Materialize, and Kafka
• Respond to alerts and lead incident workflows using incident.io and Jira
• Diagnose and resolve data quality issues, failed connectors/jobs, and SLA degradations
• Establish clear escalation paths and backup coverage to drive 24/7 operational readiness
• Respond to alerts and initiate incident workflows (Jira, incident.io)
• Troubleshoot data quality issues, SLA degradations, and failed jobs or connectors

Reliability Engineering

• Maintain and enhance runbooks for Snowflake, Materialize, Prefect, and Kafka workloads
• Implement observability with Grafana (monitoring, alerting, logs, and metrics)
• Optimize cost and performance across multi-cloud infrastructure (Azure, AWS, Snowflake)
• Improve incident detection and recovery through better alerting and automation

 Support & Collaboration

• Provide Tier-2/Tier-3 support for BI developers, analysts, and client-facing integrations
• Manage user access, role-based controls, and onboarding for shared environments
• Partner with engineering and analytics teams to prevent recurring issues

Process Leadership

• Contribute to the rollout of SLA dashboards for Snowflake and Kafka
• Champion use of incident.io for all P1/P2 incident coordination and documentation
• Help define the on-call schedule and coverage model for 24/7 support

Other duties as assigned

OTHER SKILLS AND ABILITIES

• Experience operating and troubleshooting data systems such as Snowflake, Materialize, or Kafka
• Familiarity with orchestration frameworks (Prefect, Airflow) and CI/CD practices for data (dbt, Terraform, GitHub Actions)
• Hands-on use of monitoring/observability tools (Grafana, Datadog, Prometheus, or similar)
• Strong incident management background, including on-call rotations and post-incident reviews
• Knowledge of cloud infrastructure (AWS and/or Azure)
• Proficiency in Python or Bash for automation and debugging

EDUCATION AND EXPERIENCE

• High Diploma required
• 8+ years’ data engineering experience
• Bachelor's degree in Information Technology preferred

CERTIFICATION AND LICENSES

Professional certification may be required in some areas

MUST COMPLETE PI ASSESSMENT IN ORDER TO BE CONSIDERED FOR THE POSITION:

https://assessment.predictiveindex.com/bo/28w/Candidate_Link

WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:

• Quarterly Incentive Plan
• 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
• Excellent Medical, Dental and Vision benefits
• Tuition Reimbursement for education related to your job
• Employee Referral Bonuses
• Employee Recognition and Rewards Program
• Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
• Employee Discounts
• Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information: http://www.dhs.gov/e-verify 

Company benefits are contingent upon meeting eligibility requirements and plan conditions.