Senior Data Engineer
Job Summary
To support a growing team, the full-time Senior Data Engineer will design and implement modern data architectures, lead strategy and technical direction for scalable data ecosystems, and collaborate with stakeholders to align data solutions with client goals in a remote environment.
Key responsibilities
- Design and implement end-to-end data architectures, including data lakes, data warehouses, and analytics platforms
- Define data integration and transformation strategies, ensuring scalability, security, and performance
- Provide technical leadership and mentorship to data engineers and developers, promoting best practices in data management and governance
Required qualifications
- 5+ years of experience in data architecture, data engineering, or analytics solution design
- Hands-on experience with data lake and warehouse technologies (e.g., Databricks, Snowflake, Redshift, Synapse)
- Deep understanding of data modeling, data integration, and ETL/ELT design
- Proficiency in SQL and one or more programming languages (Pyspark/Python, Scala)
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field
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