Hybrid Data Architect

at FFF Enterprises

• Job title: Data Architect
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $105,000 - $180,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, ERP, Google Cloud Platform, Python, SQL, Unity
• Location requirements: Hybrid, Flower Mound, United States

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