Lead Data Architect
Lead Data Architect
Posted 4 days ago
SENIORITY
Manager
About the role
- Architecting high-scale, secure and interoperable data platforms across the enterprise to enable AI and analytics applications
- Architecting data domains and designing data products to be shared across the enterprise
- Architecting cross-segment semantic layer and data catalog solutions
- Designing an agentic architecture for exposing data from enterprise data lakehouse domains to AI applications
- Developing MDM strategy and architecting MDM solutions for complex enterprise domains (e.g., Finance, HR)
- 7 years+ experience in data architecture and developing enterprise data, analytics and AI solutionsExperience architecting and developing high-scale cloud data platforms
- Experience architecting and developing master data management solutionsExperience with data governance
- Experience with Snowflake
- Experience with AI/MLStrong communication skills, ability to communicate well to both technical and business audiences
- Strong collaboration skills
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
