
Senior Data Solutions Architect
18 hours ago
We are seeking a skilled data professional to design, develop and manage data pipelines and transformation frameworks that enable analytics, reporting and business intelligence capabilities across the enterprise.
The ideal candidate will play a critical role in working closely with data architects, platform engineers and DevOps teams to build scalable, resilient and efficient data engineering solutions using modern Azure tools and best practices.
Main Responsibilities:
- Data Pipeline Development: Use Azure Data Factory (ADF), Azure Databricks (Spark) and Azure Synapse Analytics to create data pipelines.
- Data Transformation: Create large-scale batch and streaming data transformations using PySpark/Spark SQL.
- Data Ingestion: Consume data from Apache Kafka, REST APIs and RDBMS, ensuring real-time or near-real-time availability.
- Data Modeling: Apply star schema and snowflake schema for analytics consumption layers in Synapse or ADLS.
- Collaboration: Automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
- Workflow Management: Ensure performance, cost-efficiency and reliability of data workflows.
Must-Have Skills:
- 5+ years of experience in data engineering roles.
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