Architect role in a global organization focusing on end to end design and optimization of data platforms using Databricks SQL Databricks Workflows and PySpark. The architect will shape hybrid model solutions that support business analytics ensure scalable performance and drive productive data engineering practices while mentoring teams and aligning platforms with enterprise standards.
Responsibilities
Design robust Databricks based data platform architectures that enable scalable analytics and reporting for complex enterprise use cases and align with long term business growth objectives.
Drive end to end solution design using Databricks SQL and PySpark to optimize data ingestion transformation and consumption flows that deliver consistent performance for diverse workloads.
Define standardized patterns and reusable components for Databricks Workflows that improve orchestration reliability simplify maintenance and reduce operational overhead across multiple projects.
Collaborate with data engineers analysts and product teams in a hybrid work environment to translate business needs into technical blueprints that ensure clear traceability from requirement to implementation.
Establish governance practices for data quality security and compliance on Databricks platforms that support responsible data usage and protect sensitive information across regions.
Optimize SQL queries PySpark jobs and cluster configurations to reduce processing time and cost while maintaining high availability and resilience for critical data applications.
Guide teams on best practices for version control environment management and deployment pipelines so that Databricks solutions are consistently delivered with predictable quality.
Review solution designs and technical deliverables for complex data initiatives to identify risks propose improvements and ensure alignment with architectural standards and organiza
📌 Databricks+spark (India)
🏢 Cognizant
📍 India
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