Senior Cloud Architect
5 days ago
We are seeking a highly skilled Senior Cloud Architect to lead our data engineering team in designing, developing, and implementing scalable data solutions across multiple cloud environments. The ideal candidate will have expertise in Azure, AWS, and Google Cloud platforms, with strong leadership and collaboration skills.
Key Responsibilities:
- Leadership & Strategy:
- Lead a team of data engineers to deliver high-quality data solutions, ensuring compliance with data governance policies and regulations.
- Define best practices and standards for multi-cloud data engineering, collaborating with cross-functional teams to align data strategies.
- Solution Design & Development:
- Architect and implement data pipelines using Azure Data Factory, AWS Glue, and Google Dataflow, ensuring performance, scalability, and cost-efficiency.
- Design and manage data lake architectures on Azure Data Lake Storage (ADLS), Amazon S3, and Google Cloud Storage, leveraging expertise in Apache Spark and other big data frameworks.
- Operational Excellence:
- Optimize workflows to ensure seamless performance, scalability, and cost-efficiency across cloud platforms, utilizing CI/CD tools like Azure DevOps, AWS CodePipeline, and Google Cloud Build.
- Implement infrastructure as code (IaC) using Terraform or Biceps, ensuring consistency and reproducibility.
- Data Governance & Security:
- Ensure compliance with data governance policies and regulations, utilizing metadata management tools like Azure Purview, AWS Glue Data Catalog, and Google Data Catalog.
- Implement best practices for securing data using role-based access control (RBAC), encryption, and managed identities, adhering to industry standards and regulations.
- Cloud Expertise:
- Proficiency in Azure (Data Factory, Databricks, Synapse Analytics), AWS (Glue, Redshift, S3), and Google Cloud (Dataflow, Big Query, Cloud Storage).
- Knowledge of streaming services like Azure Event Hubs, AWS Kinesis, and Google Pub/Sub.
- Programming & Scripting Languages:
- Strong programming skills in Python, SQL, and optionally Scala for big data processing.
- Big Data Frameworks & Tools:
- Expertise in Apache Spark, Scala, Java, and other multi-cloud implementations.
- Skilled in distributed computing frameworks for large-scale data processing.
Estimated Salary: $120,000 - $180,000 per annum, depending on experience and qualifications.
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