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Senior Data Solutions Architect
2 weeks ago
We are seeking a highly skilled Data Engineer to design and implement scalable data warehouses and lakes.
The ideal candidate has a strong foundation in SQL engineering, cloud data architectures, and modern data pipelines.
Key Responsibilities:- Data Engineering & Architecture
- Design a PostgreSQL-based data warehouse for analytics and reporting.
- Develop and manage data pipelines (batch and streaming) for ingestion, transformation, and storage.
- Architect and maintain 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.
- Collaboration & Delivery
- Work closely with product, analytics, and engineering teams to deliver high-quality data solutions.
- Translate business and analytics requirements into scalable data models and pipelines.
- Data Quality & Governance
- Implement data quality checks, lineage tracking, and metadata management.
- Ensure compliance with data security and governance standards.
- Future-Readiness
- Stay current with modern data engineering tools and frameworks.
- Provide guidance on evaluating and integrating DBT, Snowflake, or Databricks as needed.
- 3+ years of experience in data engineering or data platform development.
- Expertise in PostgreSQL: advanced SQL, query optimization, schema design, and data modeling.
- Strong experience building ETL/ELT pipelines using Python or open-source frameworks.
- Proficiency with AWS services.
- Experience managing structured and unstructured data at scale.
- Exposure to DBT, Snowflake, or Databricks for hosted data warehousing.
- Experience with infrastructure-as-code tools.
- Knowledge of data governance and cataloging tools.
- Cloud certifications.