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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in feature engineering and data engineering, with a strong focus on deploying AI models using Databricks and ensuring data governance and quality. Proficient in SQL and Python, with a solid understanding of scalable data architecture and metadata standards.
Highest-signal resume keywords
Feature EngineeringData EngineeringDatabricksSQLPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Feature EngineeringData EngineeringSQLPythonData GovernanceData LineageData QualityScalable Data ArchitectureMetadata StandardsDeployment Pipelines
Tools & Technologies
DatabricksUnity CatalogMosaic AI Agent FrameworkAgent OrchestrationMCP
Certifications & Qualifications
Feature Store Certification
Industry Keywords
AI ModelsFinOpsCloud Resource UsageCross-Functional TeamsData Lifecycle
Tech Stack
Tools & technologiesCloudPythonSQLUnity
About the role
Key responsibilities & impact- Design and engineer robust machine learning features on Databricks to power AI models and solve complex business challenges
- Implement features with complete standard metadata, including description, keys, lineage, ownership, tags, and data lifecycle
- Apply scalable design patterns to maximize organizational reuse
- Follow deployment pipelines including CI/CD, bundle validation, and PRD
- Oversee job monitoring and apply FinOps practices for efficient cloud resource usage within Databricks
- Ensure consistency between training and production environments
- Maintain a single source of truth for all machine learning models
- Work closely with cross-functional teams to create trustworthy, well-governed AI products
Requirements
What you’ll need- Proven hands-on experience in feature engineering, data engineering, and deploying AI models specifically using Databricks and Unity Catalog
- Advanced proficiency in SQL and Python
- Strong background in data governance, data lineage, and data quality frameworks
- Deep familiarity with naming conventions, metadata standards, and scalable data architecture best practices
- Feature Store certification (Fundamentals / Expert) and experience with financial data (nice to have)
- Experience developing AI agents / agentic infrastructure, such as Mosaic AI Agent Framework, agent orchestration, or MCP (nice to have)
Benefits
Comp & perks- Remote-first culture – work from anywhere
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons
- Birthday off + an extra vacation week (Mutt Week)
- Referral bonuses
- Maslow: Monthly credits to spend in our benefits marketplace
- Annual Mutters' Trip
- Monthly Childcare Reimbursement