高级数据工程师

This is an infrastructure-first data role at the platform layer. You'll architect and own a centralized Databricks lakehouse, establish governance patterns that scale across multiple product lines, and give existing Data Engineers a stable, well-governed foundation to build on confidently. Pipelines, storage, governance, and platform operations are the job.

Databricks (Required): Unity Catalog: production experience with multi-catalog governance, metastore design, and lineage tracking. Data structuring: experience designing and building unified schemas across multiple disparate product lines. Delta Lake: expert-level experience with Z-ordering, compaction, liquid clustering, and performance tuning at multi-TB scale. Delta Live Tables: strong hands-on experience building declarative ETL pipelines, including change data capture and expectations/constraints. Databricks Workflows: experience with job orchestration, scheduling, and operational monitoring. Business Intelligence: experience enabling company-wide analytics and reporting with modern BI tools while maintaining source-of-truth data and metrics. PySpark and Databricks SQL: strong proficiency for code review, performance tuning, and query optimization. Core Platform Engineering: 5 to 8 years in data engineering or data platform roles, with 3+ years hands-on Databricks experience. Track record leading at least one significant platform build or migration project. AWS experience (S3, IAM, VPC) with the ability to collaborate on infrastructure decisions. Infrastructure-as-code experience (Terraform preferred). Technical Leadership: Demonstrated ability in architecting data platforms from first principles and defending technical decisions. Strong written and verbal communication; able to document architecture decisions and present to both technical and business stakeholders.

Covenant Consulting is a company that provides data platform engineering services, focusing on building and maintaining centralized data infrastructure for various product lines.