Senior Data Architect
This is a hybrid role involving building and maintaining scalable data pipelines and architectures.
Key Responsibilities:
* Building and maintaining scalable data pipelines and architectures.
* Optimising ETL workflows, transformations, and data quality checks.
* Collaborating in agile teams with Product, Data Science, and Engineering.
* Supporting production systems, troubleshooting issues, and ensuring reliability.
* Mentoring junior engineers and contributing to technical standards.
Requirements:
* Strong background in data engineering with 8+ years enterprise experience.
* Expertise in Snowflake (performance tuning, security, data sharing).
* Advanced SQL and experience with relational & NoSQL databases.
* Proficiency in Python or other OOP/functional languages.
* Experience with Databricks, Kafka, stream processing, message queuing, distributed data processing.
* Familiarity with cloud data platforms, CI/CD, version control, testing.
* Ability to work with unstructured datasets and extract insights.