
Data Architect Leader
5 hours ago
We are seeking a highly skilled and experienced Data Architect to lead our team in designing, building, and maintaining cloud-based data architectures.
The ideal candidate will have a strong background in data engineering, with expertise in tools such as Azure Databricks, PySpark, and Apache Spark.
Main Responsibilities:
- Data Engineering: Build scalable real-time and batch processing workflows using cloud-based platforms.
- Data Architecture: Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses.
- Pipeline Development: Develop and optimize ETL/ELT pipelines for structured and unstructured data from various sources.
- Automation: Automate data workflows using CI/CD and DevOps best practices.
- Collaboration: Collaborate with automation team, data scientists, and engineers to provide clean, structured data for AI/ML models.
About the Role:
This is a challenging and rewarding opportunity for a talented Data Architect to join our team and make a significant impact on our organization's data strategy.
Requirements:
- 4+ years of experience in data engineering with a focus on cloud-based platforms.
- Strong knowledge of data architecture principles and design patterns.
- Experience with data pre-processing tasks, including cleaning, transformation, deduplication, normalization, encoding, and scaling.
- Excellent problem-solving skills and ability to work under pressure.
- Candidates must be able to work independently and collaboratively as part of a high-performing team.
What We Offer:
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
About Us:
We are a dynamic and innovative company that values diversity, equity, and inclusion.
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