Data Governance Engineers are responsible for the establishment and implementation of data governance and classification for our new data lake. Their responsibilities include data management that consists of data cataloging, defining, and documenting data definitions in a business glossary, data catalog/metadata management, and the creation and maintenance of data classification and standards.
The Data Governance Engineer will assist in conducting data lineage, deriving business rules (attributes, calculations, derivations, etc.), understanding data attributes’ purpose and utilization, and contributing/maintaining metrics for measuring data quality. This role ensures TrueBlue’s data supports varying business needs and complies with regulatory requirements, maintaining consistent data quality so that the data consumers can effectively leverage our data.
Responsibilities
- Performs data profiling and cataloging to perform data classification.
- Leads detailed evaluation of data quality and identifies anomalies and discrepancies compared to data standards.
- Provides subject matter expertise to understand the root cause of data quality issues and partners with appropriate teams to implement corrective action.
- Supporting the Data Architect in defining logical metadata for data sources across data acquisition, data integration, data curation, and data presentation layers.
- Supports the Data Lakehouse Team and partners with Information Security in the creation of data security models and strategies across multiple layers of the data infrastructure stack (i.e. Databases, Reporting, etc.) based on data classifications.
- Defines roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets.
Requirements
- 2+ years’ of data governance experience, including data management principles, data glossary development, metadata development, data classification, and data quality rules.
- Exceptional analytical, critical thinking, quantitative reasoning, and problem-solving skills with high attention to detail and accuracy.
- Strong functional understanding of data and analytics architecture, platforms, and frameworks; including data modeling, data ingestion, data pipelines (ETL).
- Good familiarity with standard relational database structures; SQL, Python, and AWS Cloud Services.
- Being able to express analysis plans and results clearly in writing and verbally.
What’s in it for me?
- Competitive offer package including multisport card, health insurance & vouchers.
- The best medical coverage on the market with free dental care.
- Annual bonus plan.
- Remote work from home.
- One extra day annually to use for holiday.
- Opportunity to contribute to developing and maintaining a live platform product making an impact on people’s lives.