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Data Architect
Job description
We are seeking a Data Solutions Architect with 15 years of experience in designing enterprise-scale data platforms. This role focuses on building Azure Databricks Lakehouse solutions for clinical trial and life sciences data, enabling advanced analytics, machine learning workflows, and regulatory compliance. Responsibilities: Architect Lakehouse solutions leveraging Azure Data Lake (ADLS Gen2), Databricks, and Delta Lake. Design data models (star, snowflake, data vault), ingestion pipelines, and data governance frameworks to ensure scalability, security, and compliance with industry standards. Collaborate with cross-functional teams to develop data-driven products and services that meet business requirements. Develop and maintain technical documentation, including architecture diagrams, system designs, and implementation plans. Stay up-to-date with emerging trends and technologies in the field of data engineering and architecture. Requirements: 15 years of experience in designing enterprise-scale data platforms; Strong understanding of Azure Databricks Lakehouse solutions, ADLS Gen2, Databricks, and Delta Lake; Experience with data modeling (star, snowflake, data vault) and ingestion pipelines; Strong analytical and problem-solving skills; Excellent communication and collaboration skills. Benefits: Competitive salary and benefits package; Opportunities for professional growth and development; Collaborative and dynamic work environment.
Required skills
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Company information
- Company
- Endpoint Clinical
- Location
-
India, Karnataka, Bangalore
India - Posted
- 6 months ago
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