Data Architect

• 6-7+ years of strong hands-on Databricks experience
• Approximately 3+ years working in a Data Architect / technical architecture capacity
• Must remain hands-on technically - this is not a high-level architecture/management role
• Experience designing and implementing enterprise-scale cloud data platforms
• Pharma/life sciences experience strongly preferred
• Consulting/client-facing experience preferred

Technical requirements

• Deep hands-on Databricks
• PySpark / Spark
• AWS cloud data environment
• Data ingestion, transformation, orchestration and automation
• End-to-end data architecture and pipeline design
• Production-grade data platform experience
• DBT exposure/experience
• Snowflake experience is a plus
• Ability to establish architecture/design standards and conduct technical/design reviews
• Ability to guide data engineers while still contributing hands-on

Client-facing / culture requirements

• Excellent communication skills - this is a major requirement
• Strong customer-service/client mindset
• Positive attitude
• Excellent listener; does not interrupt or talk over others
• Able to read the room and adjust communication appropriately
• Able to communicate technical concepts so both technical and business stakeholders understand
• Comfortable operating as a trusted technical advisor with leadership