
Data Architect
5 days ago
Key Responsibilities:
- Design and develop data models for OLTP and OLAP systems, including dimensional models, star/snowflake, and data vault schemas.
- Collaborate with stakeholders to gather data requirements and translate them into efficient and scalable data architectures.
- Lead the development of ETL pipelines and processes to support data integration and transformation.
- Ensure compliance with data governance, security, and privacy regulations.
- Leverage advanced cloud data technologies, such as Snowflake and AWS services, to build and maintain data platforms.
- Utilize Python and SQL for data engineering tasks, ensuring high performance and reliability.
- Work with AWS services like S3, Glue, Lambda, EventBridge, and Step Functions to implement data workflows and automation.
- Provide technical leadership and mentorship to junior team members.
- Monitor and optimize data architecture to support business needs and ensure system performance.
**Requirements**:
- Minimum of 6 years of experience as a Data Architect or similar role.
- Proficiency in data modeling and data product design.
- Extensive experience with dimensional modeling, OLTP/OLAP systems, and schema design (star/snowflake and data vault).
- Expertise in ETL and data visualization tools.
- In-depth understanding of data management, governance, compliance, and security practices.
- Hands-on experience with cloud data technologies such as Snowflake and AWS.
- Strong programming skills in Python and SQL.
- Experience with AWS services, including S3, Glue, Lambda, EventBridge, and Step Functions.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex data challenges.
- Excellent communication skills, with the ability to effectively collaborate with diverse teams.
Schedule:
- Day shift
Work Location: Remote
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