
Enterprise Data Solutions Architect
3 days ago
We are seeking an experienced data professional to lead the development of scalable enterprise data analytics solutions using cloud platforms.
About the Role:
The ideal candidate will have a strong background in designing and developing robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
- Design and develop data pipelines that integrate structured and unstructured data from various sources into data lakes and warehouses.
- Build and maintain ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
- Collaborate with cross-functional teams to enable analytics and machine learning use cases.
- Optimize DBT models to support scalable data transformations.
Key Requirements:
- 7+ years of experience in data engineering or design
- 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks
- 5+ years of experience in data engineering using Snowflake
- Proficiency in SQL and one other programming language
- Strong experience with cloud platforms and containerization technologies
- Experience with CI/CD tools like GitHub Actions, GitLab, Jenkins
- Familiarity with security best practices in DevOps and ML Ops
- Agile operating experience using Azure DevOps
Preferred Qualifications:
- Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others
- Strong analytical and problem-solving skills
- Strong understanding of Agile methodologies
What We Offer:
- A competitive salary range
- Opportunities for professional growth and development
- A dynamic work environment
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