Lead Data Architect for Scalable Data Engineering Solutions
9 hours ago
We are seeking an experienced Lead Data Architect to join our team at Aidetic. The successful candidate will have a proven track record of designing and implementing scalable data engineering solutions using Databricks or Snowflake.
This role will focus on leading a team of data engineers who are building, maintaining, and optimizing large-scale data architectures and ETL pipelines for mission-critical projects.
As a Lead Data Architect, you will oversee the end-to-end design and deployment of these projects, ensuring that they meet the highest standards of data quality, reliability, and performance.
Key responsibilities include:
- Leading the design and implementation of data engineering solutions
- Managing and mentoring a team of data engineers
- Architecting scalable data architectures and ETL pipelines
- Cross-team collaboration with DevOps, infrastructure teams, and client stakeholders
- Ensuring adherence to data governance, security, and privacy standards
The ideal candidate will have 4+ years of experience in big data technologies, including Databricks or Snowflake and Apache Spark. They will also have strong leadership abilities, advanced programming skills in Python, PySpark, Scala, or Java, and expertise in designing and setting up large-scale ETL pipelines.
A minimum salary of $180,000 per year is expected for this role, commensurate with experience and qualifications.
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