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Senior Cloud Data Architect
3 weeks ago
Cloud Data Architect Job Description
We are seeking a seasoned Cloud Data Architect to design and implement robust data pipelines, integrate with cloud platforms, and optimize ETL jobs for scalability and fault tolerance.
About the Role:
- Create and maintain ETL pipelines to ingest, transform, and load high-volume data from IT infrastructure, monitoring systems, and cloud environments.
- Develop batch and real-time data flows using frameworks such as Python, Go, Java, or Ruby.
- Optimize ETL jobs for scalability, fault tolerance, and low latency.
- Implement data validation, cleansing, and normalization processes for consistent AI model input.
- Integrate with AIOps platforms and ML pipelines using REST APIs or event-driven architectures.
- Design and build backend services (microservices, APIs) to support data ingestion, metadata services, and configuration management.
- Use tools like Elastic Stack, Apache Airflow, Prefect, or Dagster to schedule and monitor ETL jobs.
Requirements:
- 4+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.
- Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.
Benefits:
- This role requires strong technical skills, excellent communication skills, and the ability to work collaboratively with cross-functional teams.
Skills:
- ETL Frameworks: Apache NiFi, Spark, Airflow, Flink, Kafka, Talend.
- Orchestration: Airflow, Prefect, Dagster.
- Data Storage: PostgreSQL, MongoDB, Elasticsearch, Snowflake, BigQuery.
- Streaming Platforms: Kafka, Kinesis, Pub/Sub.