
Senior Cloud Engineer
3 days ago
Cloud Engineering Leadership Opportunity
We are seeking a visionary data engineering leader with a strong focus on cloud-based data engineering to oversee our data infrastructure and team.
The ideal candidate will design, develop, and manage scalable data pipelines and infrastructure while mentoring and inspiring a team of engineers.
- Lead and Manage a Team:
- Provide technical guidance, foster collaboration and innovation, and lead by example within the data engineering team.
Key Responsibilities:
- Architect and Design Data Infrastructure:
- Oversee implementation of large-scale data pipelines, data lakes, and cloud-based data warehouses using Databricks, Apache Spark, and Snowflake.
- Develop and Optimize ETL/ELT Workflows:
- Ensure performance, reliability, and scalability of data infrastructure through efficient ETL/ELT workflows.
- Collaborate with Stakeholders:
- Understand business requirements and translate them into scalable, efficient data solutions.
- Implement Best Practices:
- Establish best practices for data quality, governance, security, and compliance across the organization.
Qualifications & Skills:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
- Minimum 18 years of professional experience in data engineering with at least 12 years in leadership or senior technical roles.
- Deep hands-on expertise with Databricks and Apache Spark for large-scale data processing.
- Strong programming skills in Python, Scala, or Java.
- Extensive experience with cloud data platforms such as AWS, Azure, or GCP, including services like S3, Redshift, BigQuery, Snowflake.
Preferred Qualifications:
- Proven experience managing high-performing teams and delivering complex data engineering projects on time.
- Familiarity with analytics solutions and the ability to translate business needs into technical requirements.
- Experience supporting technical discussions is a plus.
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