
Data Platform Engineer
Versana
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $130,000 - $160,000 per year
About the role
- Design, implement, and operate ELT pipelines to ingest data into the lakehouse.**
- Apply Medallion architecture and semantic layering to deliver curated datasets.**
- Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance.**
- Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability.**
- Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets.**
- Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates.**
- Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability.**
- Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.**
- Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients.**
- Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.
Requirements
- B.S. or B.A in Computer Science or related field.**
- 5–7 years in data engineering or analytics engineering.**
- Strong SQL and practical experience with dbt for transformations and testing.**
- Hands-on experience with data modeling and performance optimization.**
- Professional coding experience with both Java and Python.**
- Experience operating data ware/lake-houses and building semantic layers.**
- Familiarity with CI/CD (DataOps), version control, and environment promotion.**
- Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust.**
- Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls).**
- Demonstrated ability to mentor or coach in software engineering practices.**
- Effective communication and requirement gathering.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdbtdata modelingperformance optimizationJavaPythondata warehousingdata lakehousessemantic layersCI/CD
Soft Skills
mentoringcoachingeffective communicationrequirement gathering
Certifications
B.S. in Computer ScienceB.A. in Computer Science