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Design and develop scalable data pipelines using Databricks and Python in Azure, focusing on data optimization for analytics in healthcare.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

Design and build data pipelines and platforms, ensuring data reliability and scalability for analytics. Collaborate with diverse teams to implement data-driven solutions.

Lead engineering teams in developing modern data pipelines and platforms, providing technical direction and ensuring delivery aligns with business goals.

The Data Engineer will design and maintain scalable data pipelines, optimize ETL processes, and ensure data quality for analytics in healthcare.

The Data Architect will lead client data platform implementations, define architecture, establish data governance, and optimize data pipelines on Databricks. They will collaborate with stakeholders and mentor teams to deliver high-quality data solutions.

This role involves managing and evolving Snowflake platforms, mentoring data engineers, optimizing data processes, and ensuring data quality and governance.

The Technical Manager leads project teams to deliver solutions, evaluates frameworks, manages risks, fosters client relationships, and develops team members.