
Data Solutions Architect
7 days ago
Key Responsibilities
- Design and implement large-scale data architectures
- Develop and maintain efficient ETL processes on Databricks
- Collaborate with cross-functional teams to gather requirements and deliver actionable data solutions
- Optimize data workflows for performance, cost-efficiency, and reliability
- Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses
- Implement best practices in data governance, security, and quality management
- Mentor junior engineers and provide technical leadership in data engineering best practices
- Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity
Required Skills & Experience
- 8+ years of experience in Data Engineering
- Proven expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow)
- Strong experience with PySpark, Spark SQL, and Scala
- Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus)
- Proficiency in data modeling, ETL development, and data warehousing concepts
- Solid understanding of big data ecosystems (Hadoop, Kafka, etc.)
- Strong SQL development skills with a focus on performance tuning
- Experience in implementing CI/CD pipelines for data solutions
As a senior data solutions architect, you will play a key role in designing and implementing large-scale data architectures that drive business growth and innovation.
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