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.

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.

Data Platform Engineer

Key skills