Related skills
redshift snowflake databricks master data management collibra📋 Description
- Lead and mentor a team of data modelers, enforcing standards.
- Partner with CDO, data product leaders, and engineering for enterprise models.
- Define and govern conceptual, logical, physical, and dimensional models.
- Decide on entity definitions, relationships, hierarchies, SCDs, and master data.
- Ensure AI-ready data with metadata, quality rules, and lineage.
- Improve data quality, usability, and scalability; fix semantic gaps.
🎯 Requirements
- 7–10 years of hands-on enterprise data modeling (finance/regulatory).
- Proven design experience: conceptual, logical, physical models.
- Dimensional modeling (Star/Snowflake) and MDM expertise.
- MDM concepts with Informatica MDM; governance tools Collibra, Alation.
- Lakehouse stack: AWS, Snowflake, Databricks, Redshift.
- SQL fluency; validate models with real data; collaborate with engineers.
🎁 Benefits
- Work-Life Balance: 40% in-office monthly.
- Culture of Learning & Mobility: trainings, leadership development, mentorship.
- Investing in Your Future: retirement planning and tuition reimbursement.
- Health & Wellbeing: comprehensive healthcare offerings.
- Inclusive Work Environment: ERGs and collaboration.
- Giving Back: paid volunteer days and matched donations.
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