
Data Engineering Solutions Architect
5 days ago
Job Title: Data Engineering Solutions Architect
Overview:
We are seeking an experienced Data Engineering Solutions Architect to join our team. As a key member of our data engineering group, you will design, develop, and maintain scalable, secure, and high-performance data solutions on Databricks.
Responsibilities:
- Lead the architecture and implementation of data pipelines and ETL processes on Databricks.
- Collaborate with business stakeholders, data scientists, and analysts 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.
Requirements & Qualifications:
- 7+ 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.
What We Offer:
A competitive compensation package and comprehensive benefits, including health insurance, retirement plans, paid time off, and more.
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