About this role
The team is seeking an experienced Snowflake Data Architect / Lead Data Engineer with a strong background in AWS technologies. The ideal candidate will architect and deliver enterprise Lakehouse and Data Warehouse solutions, leveraging a variety of tools and frameworks.
Key Responsibilities:
- Architect and deliver enterprise Lakehouse and Data Warehouse solutions on AWS using S3, Glue, EMR, Redshift, and Snowflake.
- Design Bronze/Silver/Gold data lake architectures utilizing Delta Lake and Apache Iceberg with ACID compliance and schema evolution.
- Build and optimize batch, CDC, and real-time data pipelines using AWS DMS, Glue Spark, MSK/Kafka, dbt, Step Functions, and Airflow.
- Design Data Vault 2.0, dimensional, star/snowflake, and semantic data models.
- Implement data governance and security measures to ensure data integrity and compliance.
Required Skills & Qualifications:
- Proven experience in data architecture and engineering, specifically with Snowflake and AWS.
- Strong knowledge of data modeling techniques and best practices.
- Proficiency in building scalable data pipelines and ETL processes.
- Familiarity with data governance and compliance frameworks.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
Experience:
- 7-12 years of relevant experience in data engineering and architecture roles.
What we offer:
- Opportunity to work on cutting-edge technologies and innovative projects.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.