Job Description
Position: Databricks Architect / Architecture & Engineering Specialist
\n
Location: Evanston, IL
\n
Duration: Contract to hire
\n
End Client: This role is with a brand Pharma company
\n
W2/1099 ONLY
\n
\n
Job Summary:
\n
Required experience
\n
- \n
- 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
\n
\n
\n
\n
\n
\n
\n
Technical requirements
\n
- \n
- 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
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Client-facing / culture requirements
\n
- \n
- 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
\n
\n
\n
\n
\n
\n
\n
\n
