This is a newly created, high-impact role aimed at bringing the architecture and management of our data platforms in-house, reporting directly to Clark’s Enterprise Data and Analytics lead
Job Summary
This is a newly created, high-impact role aimed at bringing the architecture and management of our data platforms in-house, reporting directly to Clark’s Enterprise Data and Analytics lead.
You will move beyond simply "managing platforms" to architecting a Unified Data Foundation through a combination of leading platforms like Snowflake, Databricks, AWS, Microsoft OneLake, and Microsoft Fabric.
Success in this role requires significant commitment, including flexibility to work extended hours, especially during critical project phases or client deadlines.
Matching Summary
This is a newly created, high-impact role aimed at bringing the architecture and management of our data platforms in-house, reporting directly to Clark’s Enterprise Data and Analytics lead.
Skills & Requirements
Must-have
Unified Data Foundation architecture
Snowflake, Databricks, Microsoft Fabric
Data modeling and integration
Cross-platform governance and security
Data catalog and stewardship
System stability and scalability
Nice-to-have
AI/ML adoption support
Business Intelligence tool expertise
Project-based industry experience
Key Requirements
7-10+ years in data engineering, enterprise integration, or platform architecture
Hands-on experience with Snowflake, Databricks, Microsoft Fabric (OneLake)
Experience with ETL/ELT tools (Talend, Matillion, Mulesoft)
Proficiency in Python, Lambda functions, and SQL
Proven track record of solving scaled problems and building platforms for 1,000+ users