Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
About the role
- Data Architect leading the design and governance of data architecture for FFF Enterprises. Collaborating across teams to optimize data solutions and support analytics and reporting initiatives.
Responsibilities
- Lead the design and governance of our enterprise data architecture.
- Define and implement end-to-end data architecture standards, including data modeling, data integration, metadata management, and governance across the enterprise.
- Design scalable data models across Bronze, Silver, and Gold layers of a Databricks Lakehouse using Delta Lake and Unity Catalog and DLT.
- Collaborate with data engineers to optimize ingestion and transformation processes across streaming and batch pipelines.
- Establish canonical models and semantic layers that power downstream BI tools and self-service analytics.
- Define and enforce data quality, data lineage, and data security policies in coordination with governance teams.
- Work with business stakeholders, product managers, and analysts to translate analytical use cases into high-quality data models and architecture patterns.
- Provide architecture oversight and best practices guidance on data integration tools (e.g., Fivetran), data cataloging, and performance optimization.
- Review and approve physical and logical data model changes across teams to ensure consistency and maintain architectural integrity.
Requirements
- Bachelor’s Degree in a related field or four (4) years relevant experience in lieu of degree.
- Deep understanding of SAP ERP data models, especially core financials, logistics, and materials domains.
- Expertise in dimensional modeling, star/snowflake schemas, and modern data warehousing patterns.
- Proficiency in SQL and Python, with the ability to guide data engineers on best practices.
- Strong understanding of data governance, lineage, and security frameworks.
- Ability to communicate architectural concepts clearly to both technical and non-technical audiences.
- Must have seven (7) years [eleven (11) for non-degreed candidates] of experience in data architecture or data engineering, with a focus on enterprise-scale data.
- Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, and Lakehouse architecture.
- Proven experience in conceptual, logical, and physical data modeling using tools like ER/Studio, Erwin, Lucidchart, or dbt.
- Experience working in cloud environments such as Azure, AWS, or GCP.
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Professional development opportunities
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