Data Engineering Leader for Cloud Platforms
3 days ago
We are seeking a highly skilled and experienced Data Engineering Leader to oversee the design, development, and implementation of data solutions across Azure, AWS, and Google Cloud platforms. The ideal candidate will lead a team of data engineers, ensuring the creation of scalable, high-performance data pipelines and analytics solutions to meet business needs.
Key Responsibilities:
- Lead a team of data engineers to deliver high-quality data solutions across multiple cloud environments.
- Define best practices and standards for multi-cloud data engineering.
- Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to define comprehensive data strategies.
Solution Design & Development:
- Architect and implement data pipelines using Azure Data Factory, AWS Glue, and Google Dataflow.
- Design and manage data lake architectures on Azure Data Lake Storage (ADLS), Amazon S3, and Google Cloud Storage.
- Implement data modeling, data integration, and ETL/ELT pipelines using tools like Azure Synapse, Redshift, and Big Query.
Operational Excellence:
- Optimize workflows to ensure performance, scalability, and cost-efficiency across cloud platforms.
- Implement CI/CD pipelines for data engineering workflows using Azure DevOps, AWS Code Pipeline, and Google Cloud Build.
- Monitor and troubleshoot pipelines to address performance issues and ensure resilience.
Governance & Security:
- Ensure compliance with data governance, security policies, and regulations across cloud providers.
- Use tools like Azure Purview, AWS Glue Data Catalog, and Google Data Catalog for metadata management.
- Implement best practices for securing data using role-based access control (RBAC), encryption, and managed identities.
Required Skills and Qualifications:
- 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 and Scripting Languages: Strong programming skills in Python, SQL, and optionally Scala for big data processing.
Estimated Salary: $160,000 - $200,000 per year based on experience and location.
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