Who are we?

Billigence is a boutique data analytics consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through Cloud Data Warehousing, Visualisation, Data Science or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.

About the role:

• We are privileged to collaborate with a prominent client in the pharmaceutical industry, dedicated to advancing healthcare through groundbreaking research and innovative solutions.
• Our mission revolves around harnessing the power of data to enhance patient outcomes, accelerate drug discovery, and redefine the healthcare landscape. As we intensify our data initiatives, we are in search of a proficient Data Architect to lead the design and implementation of Databricks architecture within this prestigious pharmaceutical organization.

What you will do:

• Collaborate with stakeholders to create scalable and efficient data architecture solutions using DataBricks.
• Ensure that the architectural designs align with the organization's business objectives and meet the data processing requirements.
• Take the lead in designing and developing data pipelines within the DataBricks environment.
• Ensure that data ingestion, transformation, and loading (ETL) processes are optimized for performance and reliability.
• Architect data lake and data warehousing solutions using DataBricks, focusing on best practices for data storage, partitioning, and efficient querying

• Demonstrated experience as a Data Architect or similar role, with a strong background in data engineering, data architecture, and analytics.
• A deep understanding of DataBricks, including cluster management, notebook development, and automation using DataBricks APIs.
• Experience with cloud platforms such as Azure, AWS, or GCP, and their integration with DataBricks.
• Strong communication and collaboration skills to work effectively with cross-functional teams and convey technical concepts to non-technical stakeholders.