Data Architect / Senior Data Engineer
Description
We are seeking an experienced Data Architect / Senior Data Engineer to design, optimize, and scale our data infrastructure. You will own the architecture of our data platforms, ensuring reliable pipelines, strong governance, and efficient analytics. This is a senior role with direct impact on business-critical decisions.
Responsibilities
- Design and implement scalable data models and ETL/ELT pipelines for structured and semi-structured data.
- Build and optimize streaming pipelines using Kafka integrated with Redshift and S3.
- Optimize storage, partitioning, indexing, and query performance in Amazon Redshift.
- Define and enforce data architecture standards, governance, lineage, and quality frameworks.
- Ensure security, scalability, and reliability of the data infrastructure.
- Partner with BI, Data Science, and Engineering teams to align on requirements.
- Mentor junior engineers and provide technical leadership.
- Work closely with the CTO to align architecture with overall technology strategy.
Requirements
- 6+ years of experience in data engineering and architecture.
- Strong expertise in Amazon Redshift, S3, and Airflow.
- Proven experience with Kafka (event-driven systems, streaming pipelines).
- Deep understanding of data modeling, indexing, partitioning, and query optimization.
- Proficiency in Python and SQL.
- Strong knowledge of data governance, lineage, and quality frameworks.
- Experience in mentoring or leading engineers.
- Intermediate English level.
Required languages
English | B1 - Intermediate |
Published 22 September
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