Data Architect

Description:

Bachelor’s or master’s degree in computer science, Engineering, or a related technical discipline

Strong Clinical and Operational domain knowledge in Pharma (Life Science ) Industry

Must have 6 to 8 years of experience with Python (or a similar language) and Data Engineering

Hands on experience with EMR

Hands on experience with AWS ( Athena, Redshift)

Hands on experience working with Snowflake

Hands on experience with DataIku

Good to have working exposure to Databricks

Hands on experience with Dremio

Expert-level experience in creating/analyzing complex SQL and creating data pipelines, data modeling skills, and frameworks.

Strong technical knowledge and extensive application support experience in systems and applications within clinical development • Problem-solving, analytical, quality mindset, and strong business acumen

Ability to translate complex business questions and requirements and develop effective solutions.

Understanding of clinical data standards

Excellent analytical skills

Detail-oriented, demonstrating good interpersonal and leadership skills, a team player.

Self-motivated, work effectively under pressure.

Effective verbal and written communication skills