
Data Platform Strategist
4 days ago
Job Title: Cloud Data Engineering Lead
Location: Remote, with occasional on-site visits to client locations.
Overview:
We are seeking an experienced Cloud Data Engineering Lead to manage and lead the migration of on-premises Enterprise Data Warehouses to cloud-based data platforms. The successful candidate will be responsible for designing, developing, and implementing data platform solutions using Azure Cloud data tools and Snowflake.
Key Responsibilities:
- Manage and lead the migration of on-premises SQL Server Enterprise Data Warehouses to Azure Cloud and Snowflake.
- Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, Databricks, and Snowflake.
- Develop and guide the implementation of cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
- Implement and oversee DevOps practices and CI/CD pipelines using Git Actions.
- Collaborate with cross-functional teams to ensure seamless integration and data flow.
- Optimize and troubleshoot data pipelines and workflows.
- Ensure data security and compliance with industry standards.
- Provide technical leadership and mentorship to the engineering team.
Required Qualifications:
- Minimum of 8+ years of experience in a Cloud Data Engineering role, with at least 3 years in a leadership or technical delivery role.
- Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), Databricks, and Snowflake.
- Strong experience in developing cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
- Proficiency in DevOps and CI/CD practices using Git Actions.
- Experience with Python or other scripting languages for data processing.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills. Strong analytical skills and attention to detail.
- Proven track record of successful project delivery in a cloud environment.
- Experience with Agile methodologies and project management tools.
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