Data Platform Architect

Project Role : Data Platform Architect
Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Platform Architect, you will be responsible for architecting the data platform blueprint and implementing the design, which includes various relevant data platform components. Extensive experience in building and managing modern data platforms on Azure using Lakehouse architecture. The ideal candidate will have strong hands-on experience in PySpark, SQL, and Azure Data Services, and a proven track record in developing scalable and efficient data pipelines. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also addressing any challenges that arise during the implementation process. You will engage in discussions with stakeholders to gather requirements and provide insights that drive the overall data strategy of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Design, build, and optimize scalable data pipelines using Databricks, PySpark, and SQL on Azure. - Implement Lakehouse architecture for structured data ingestion, processing, and storage. - Build and manage Delta Lake tables and perform schema evolution and versioning. - Work with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse for data integration and transformation. - Collaborate with data architects, analysts, and business teams to understand requirements and design efficient data solutions. - Optimize performance of large-scale data pipelines and troubleshoot data quality or latency issues. - Contribute to best practices around coding, testing, and data engineering workflows. - Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data integration techniques and best practices. - Experience with cloud-based data solutions and architectures. - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong hands-on experience with PySpark and advanced SQL for large-scale data processing. - Deep expertise in Databricks platform including notebooks, jobs, and Delta Lake. - Solid experience with Azure cloud services: ADLS Gen2, ADF, Azure Synapse, Key Vault, etc. - Knowledge of Lakehouse architecture concepts, implementation, and governance. - Experience in version control tools like Git and CI/CD pipelines. - Excellent problem-solving and debugging skills. - Strong communication and collaboration abilities across cross-functional teams. - Strong understanding of data integration techniques and best practices. - Familiarity with data governance frameworks and compliance requirements. - Ability to design scalable and efficient data pipelines. Additional Information: - The candidate should have good experience in Databricks Unified Data Analytics Platform. - This position is based at our Hyderabad office. - A 15 years full time education is required.

15 years full time education

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