
Senior Data Solutions Architect
2 days ago
Senior Data Solutions Architect Position Overview
We are seeking an experienced senior data solutions architect to lead the design and development of our next-generation ETL platform. The successful candidate will have a strong background in designing scalable data architectures and expertise in enterprise-scale data processing.
- Design and develop high-performance data architectures that process large volumes of data across multi-tenant environments while ensuring data quality and governance.
- Create optimized Databricks-based ETL architectures for enterprise-scale data processing.
- Implement massively parallel processing (MPP) architectures for high-volume data loads.
- Establish data modeling standards for dimensional and transactional data structures.
Key Responsibilities:
- Platform Architecture & Design
- Design metadata-driven ETL frameworks with configurable processing pipelines.
- Architect data warehouse solutions for multiple products.
- Data Engineering Leadership
- Create reusable ETL patterns and skeleton frameworks across product lines.
- Architect Delta Lake and Redshift integration patterns for hybrid data storage.
- Technical Strategy
- Design secret management and connection pooling strategies.
- Governance & Quality
- Establish data lineage and audit trail architectures.
- Implement comprehensive data quality dashboards and monitoring.
Required Skills and Qualifications:
- 12+ years of experience in data architecture with enterprise ETL platforms.
- Expert-level experience with Databricks, Apache Spark, and PySpark.
- Advanced knowledge of AWS services (S3, Redshift, IAM).
- Proficiency in Delta Lake and data lakehouse architectures.
Benefits:
- Opportunity to work on cutting-edge data architectures.
- Collaborative team environment.
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