Finance Data Architect
Austin, Texas, United States
USD 114K-169K (estimate) Senior-level Full Time
Tasks
- Align upstream transformations governance standards and canonical source decisions
- Author version markdown based skills agent prompts and workflow files
- Build validation and reconciliation processes for finance data trust
- Create and maintain finance AI artifact library
- Define semantic models for finance metrics dimensionality and calculations
- Design and maintain curated finance datasets
- Drive adoption through documentation demos and stakeholder enablement
- Ensure auditability of modeled finance data
- Establish finance semantic layer naming standards data quality checks and documentation
- Establish versioning standards and metadata practices for AI artifacts
- Identify and surface process improvement and automation opportunities for finance workflows
- Map connect and rationalize finance data across enterprise systems
- Own finance MCP layer context definitions guardrails and grounding
- Partner with AI enablement teams to enforce semantic grounding and governance guardrails
Perks/Benefits
- Career development mentoring programs
- Community volunteering
- Company philanthropy programs
- Employee peer recognition programs
- Flexible time off
- Health and wellness benefits
- Hybrid work opportunities
- Paid parental leave
Skills/Tech-stack
AI guardrails | Agent Prompts | Auditability | Cloud Data | Cloud Data Warehouse | Data Contracts | Data Governance | Data Lineage | Data Quality | Data Warehouse | Dimensional Modeling | Expense forecasting | FP and A | MCP | Markdown | Metadata Management | Prompt Libraries | Prompt engineering | Retrieval Grounding | Revenue Modeling | SQL | Semantic Modeling | Snowflake | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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