
Chief Data Platform Architect
2 weeks ago
As a Senior Data Engineer, you will be responsible for designing and implementing functionalities focusing on data engineering tasks.
- Design and implement secure and compliant production data processing pipelines on Microsoft Fabric and Azure to ingest, land, and transform data into data products.
- Ensure that data pipelines and stores are high-performing, efficient, organized, and reliable given business requirements and constraints.
- Responsible for data-related implementation tasks including provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, implementing required monitoring and telemetry, and accessing external data sources.
- Collaborate with SMEs and Tech Leads to ensure delivery on commitments.
- Build and maintain scalable and efficient data platforms to meet the needs of functional and non-functional requirements.
- Implement large-scale enterprise data solutions and applications using one or more Azure data and analytics services.
- Implement data solutions that utilize the following Azure services: Delta Lake, Azure Cosmos DB, Azure Data Factory, Spark, and Azure Blob storage.
- Relevant experience in data platforms, especially in the financial services industry.
- Azure's PaaS SaaS offerings, Fabric, Synapse, Purview, ADF, Azure Data Lake Storage, etc.
- Experience with cloud distributed data processing platforms for Spark and modern open table concepts like Delta Iceberg.
- Strong proficiency in Spark, SQL, and Python, Scala, Java.
- Ability to think strategically and operate in day-to-day delivery mode.
- High-level understanding of Azure DevOps Agile development processes, SCRUM, and Kanban.
- Strong communication, presentation, documentation, and interpersonal skills.
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