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Senior Data Engineer / Architect at Enable Data Incorporated. Experience Required: 8+Years. Mode of work: Remote. Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture,Azure Data Factory, Pyspark, Python, SQL, Spark. Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within September 15th 2025). . Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.. . Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights.. . Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.. . Ensure data quality, integrity, and security throughout all stages of the data lifecycle.. . Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.. . Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.. . Provide technical guidance and expertise to junior data engineers and developers.. . Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering.. . Contribute to the continuous improvement of data engineering processes, tools, and best practices.. . . Bachelor’s or master’s degree in computer science, engineering, or a related field.. . . 10+ years . of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solutions.. . Strong knowledge and experience with Azure cloud platform, Databricks,EventHub,Architecture,Spark,Kafka, ETL Pipeline,Python/Pyspark, SQL EventHub, Copilot Studio... . Strong experience with cloud platforms such as. Azure .. . . Experience with big data systems, including . Apache Spark / Kafka . . . Experience contributing to the architecture and design of large-scale distributed systems . Expertise in Databricks Lakehouse Platform, its architecture, and its capabilities. . . Experience building production pipelines using. Databricks and Azure services.   . . Experience with multiple coding languages such as . Python or SQL. . . . Company Location: India.