
Chief Data Solutions Architect
17 hours ago
We are seeking a skilled Enterprise Data Engineer to design and implement scalable data solutions using PostgreSQL and cloud-based technologies.
The ideal candidate has expertise in SQL engineering, cloud data architectures, and modern data pipelines. Experience with hosted data warehouse platforms is beneficial.
- Design and build a scalable PostgreSQL-based data warehouse for analytics and reporting.
- Develop and manage data pipelines for ingestion, transformation, and storage.
- Architect and maintain a data lake on AWS infrastructure.
- Optimize queries, indexing, and schema design for performance and scalability.
Key Responsibilities
- Collaborate with product, analytics, and engineering teams to deliver high-quality data solutions.
- Translate business requirements into scalable data models and pipelines.
- Provide technical expertise for data-driven decision-making.
Requirements:
- 3+ years of hands-on experience in enterprise 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 (S3, Glue, Athena, Redshift Spectrum, Lambda, etc.).
- Experience managing structured and unstructured data at scale.
- Solid programming skills in Python (or similar).
- Familiarity with open-source data frameworks (e.g., Apache Spark, Kafka).
What We Offer
- Opportunity to design and own large-scale data platforms.
- A collaborative environment with mentorship from senior data leaders.
- Flexibility to innovate and work with open-source-first approaches.
- Remote-first culture with growth opportunities in data architecture and leadership.
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