
Data Solutions Architect
2 days ago
We are seeking a highly skilled and experienced Senior Data Solutions Architect to join our global team. This is an exciting opportunity for you to leverage your expertise in data engineering, architecture, and cloud computing to drive business growth and innovation.
The successful candidate will be responsible for designing, building, and deploying scalable and secure data pipelines using Python and PySpark. You will work closely with cross-functional teams to integrate data from various sources, develop ETL/ELT processes, and implement cloud-based solutions on GCP and AWS.
Key Responsibilities:
- Design and deploy data architectures that meet business requirements
- Develop and optimize ETL/ELT processes for data integration
- Implement cloud-based data solutions using GCP and AWS
- Own data workflows end-to-end, from ingestion to transformation to storage
- Monitor and improve pipeline reliability, speed, and data quality
- Collaborate with stakeholders to ensure data availability and trustworthiness for analytics and downstream systems
Requirements:
- Strong proficiency in Python and PySpark
- Working experience with cloud platforms like GCP and/or AWS
- Solid understanding of ETL/ELT, data warehouse, and data lake concepts
- Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non-relational databases, with a focus on MongoDB
- Excellent problem-solving and analytical skills
- Self-starter attitude with minimal need for hand-holding
- Experience with automation tools like GenAI or scripting tools
Nice to Have:
- Experience with CI/CD pipelines and Docker
- Understanding of data governance and observability
- Prior experience in fast-paced, execution-heavy teams
Benefits: Competitive salary, opportunities for professional growth, and a dynamic work environment.
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