Posting Type
Hybrid
Job Overview
We are seeking an experienced and innovative Cloud Data Engineer to join our team. The Cloud Data Engineer will design, implement, and manage cloud-based data architecture solutions, ensuring they are scalable, reliable, and secure. This role involves collaborating with various stakeholders, including product managers, engineers, and business leaders, to align cloud data strategies with organizational goals.
Job Description and Requirements
Data Model and Structure Definition:
Data Integration and ETL:
Performance Tuning and Optimization:
Implement best practices for data management and governance, including defining best practices around ownership, linage, security, and quality.
Collaboration and Communication:
Work closely with engineers, data scientists, and business analysts to deliver data solutions, oftentimes working directly in code alongside them
Expert knowledge of data integration and ETL tools (e.g., dbt, Apache NiFi, Talend, Informatica, Azure Data Factory, Prefect).
Strong familiarity with big data technologies (e.g., Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion).
Strong familiarity with data governance tooling (e.g. Alation, Collibra, BigID, Purview, Monte Carlo)
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
$210,000 and $314,000
The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
