
Chief Data Architect
3 days ago
We are looking for an experienced Data Engineer to lead the design and implementation of a scalable data warehouse on PostgreSQL and manage a data lake on AWS infrastructure.
Key Responsibilities- Data Engineering & Architecture: Develop a robust PostgreSQL-based data warehouse that meets scalability and analytics requirements.
- Create and maintain data pipelines (batch and streaming) for ingestion, transformation, and storage using open-source technologies.
- Design and manage a data lake on AWS infrastructure (e.g., S3, Glue, Athena, Redshift Spectrum).
- Optimize queries, indexing, and schema design for performance and scalability in PostgreSQL.
- Ensure solutions align with modern data engineering best practices and industry standards.
- Work closely with cross-functional teams to deliver high-quality, reliable data solutions that meet business needs.
- Translate business and analytics requirements into scalable data models and pipelines.
- Provide technical expertise to support data-driven decision-making across the organization.
- Implement data quality checks, lineage tracking, and metadata management to ensure data integrity and compliance.
- Maintain adherence to data security and governance standards (e.g., GDPR, HIPAA).
- Stay current with emerging data engineering tools and frameworks.
- Provide guidance on evaluating and integrating new technologies as needed.
The ideal candidate has a strong foundation in SQL engineering, cloud data architectures, and modern data pipelines. Experience with hosted data warehouse platforms such as DBT, Snowflake, or Databricks is a plus.
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