About this role
We are seeking an experienced and visionary Lead Data Engineer to lead enterprise-scale data engineering initiatives and drive the design, implementation, and modernization of cloud-native data platforms. The ideal candidate will have extensive experience in defining enterprise data architecture, leading high-performing engineering teams, and delivering scalable data solutions.
Key Responsibilities:
- Lead the design and development of data architecture and data models.
- Oversee the implementation of data pipelines and ETL processes.
- Collaborate with cross-functional teams to define data requirements and ensure data quality.
- Mentor and guide engineering teams to adopt best practices in data engineering.
- Evaluate and integrate new data technologies and tools into existing systems.
- Ensure compliance with data governance and security policies.
Required Skills & Qualifications:
- Proven experience in data engineering, with a strong background in cloud platforms such as AWS or Azure.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Strong understanding of SQL and NoSQL databases.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Experience:
- 10-14 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on innovative projects in a dynamic environment.
- Collaborative team culture with a focus on professional growth.
- Access to the latest tools and technologies in data engineering.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.