
Scalable Data Solutions Architect
3 days ago
About the Role:
We seek an experienced Scalable Data Solutions Architect to lead the development of robust data architectures and solutions.
This position involves collaborating with cross-functional teams to design, implement, and maintain efficient data pipelines and systems.
Key Responsibilities:Design, develop, and maintain scalable data architectures, ensuring security and high performance.
Optimize ETL/ELT pipelines using Apache Airflow, DBT, or custom workflows.
Lead data modeling, schema design, and documentation for cloud and on-prem systems.
Establish best practices for data governance, versioning, and lineage tracking.
Manage and integrate data from various sources, including PostgreSQL, MongoDB, and Snowflake.
Guarantee data quality, reliability, and accessibility across all business units.
Collaborate with DevOps for cloud-native data deployments.
Enhance database performance, monitor pipelines, and handle large-scale data ingestion.
Provide strategic advice on emerging technologies and architecture improvements.
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
5+ years of hands-on experience in data architecture or advanced data engineering.
Strong knowledge of data modeling, SQL optimization, and database design.
Deep experience with PostgreSQL, MongoDB, Snowflake, or other modern DWs.
Expertise in Airflow, Kafka, Spark, or similar data processing frameworks.
Proficient in Python, SQL, and one additional scripting language.
Familiarity with CI/CD for data, cloud infrastructure, and containerization (Docker, Kubernetes).
Solid understanding of data security, compliance, and access control.
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