
Highly Experienced Data Architect Lead
5 days ago
This role is for a senior-level data engineer who will collaborate with data scientists and architects to develop scalable data solutions.
The ideal candidate will have 7+ years of experience in data engineering or design, with expertise in designing, developing, and deploying complex data analytics systems.
- Data Pipeline Development:
- Design and build robust, scalable, and high-quality data pipelines that support business intelligence and machine learning workflows.
- Integrate structured and unstructured data from various sources into data warehouses.
- Cloud Platform Engineering:
- Develop and operationalize cloud-native data solutions on Azure, integrating services like Snowflake and third-party technologies.
- Data Modeling & Architecture:
- Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
- Collaboration & Agile Delivery:
- Work closely with cross-functional teams to translate requirements into technical solutions.
The successful candidate will have strong experience with cloud platforms, containerization technologies, CI/CD tools, security best practices, and Agile operating experience.
Key Skills Required:
- Programming: Python, SQL, Spark
- Cloud Platforms: Azure
- Data Tools: DBT, Erwin Data Modeler, Apache Airflow
- Governance: Data masking, metadata management
- Soft Skills: Communication, problem-solving
Requirements:
- 7+ years of data engineering or design experience
- 5+ years of experience in ML Lifecycle using Azure Kubernetes service and Azure Container Instance service
- Experience in designing, developing & scaling complex data & feature pipelines feeding ML models
- Strong experience with cloud platforms and containerization technologies
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