
Senior Data Platform Architect
1 day ago
**Data Engineer Position Overview**
We are seeking an experienced Senior Data Platform Architect to lead the design and optimization of modern data platforms.
This role requires deep technical expertise, leadership skills, and innovation to deliver scalable data solutions.
**Key Responsibilities:**
- Lead architecture development & operations for Databricks.
- Build and optimize ETL/ELT pipelines using Python (PySpark).
- Set up and maintain CI/CD pipelines with Git/DevOps tools.
- Design scalable data lakes, warehouses & lakehouses.
- Optimize Databricks clusters, jobs & workflows (batch & streaming).
**Requirements and Qualifications:**
- 5+ years of experience in data engineering.
- Strong expertise in Databricks & Apache Spark.
- Hands-on experience with Unity Catalog for governance, security, and lineage.
- Proven track record of building and optimizing ETL pipelines.
- Solid understanding of CI/CD practices, Git integration, and automation for Databricks.
As a Senior Data Platform Architect, you will be part of a future-focused team where your ideas and leadership can make a difference.
**Benefits of Working with Us:**
You will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and contribute to the growth of our organization.
Our team is passionate about delivering high-quality solutions that meet the evolving needs of our clients.
We offer a dynamic and supportive work environment that fosters creativity, innovation, and continuous learning.
**Why Join Our Team:**
If you are a motivated and results-driven individual with a passion for data engineering, we encourage you to apply for this exciting opportunity.
Join our team and be part of shaping the future of data management and analytics.
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