Lead Data Platform Engineer

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Job Overview

The Lead Data Platform Engineer at Jobot will play a crucial role in designing, implementing, and managing our data ecosystem. This position requires a visionary thinker who can effectively guide the architecture and optimization of our data platforms, ensuring data integrity, availability, and performance. The ideal candidate will also work closely with cross-functional teams to leverage data insights, drive strategic initiatives, and foster a data-driven culture within the organization.

Job Responsibilities

• Design and implement scalable data architectures that support analytics, reporting, and machine learning initiatives.
• Lead the development and management of ETL processes, ensuring data quality and integrity.
• Collaborate with stakeholders to understand data requirements and deliver appropriate data solutions.
• Optimize data storage systems for performance, reliability, and efficiency.
• Monitor system performance, troubleshoot issues, and implement necessary updates to maintain optimal system operations.
• Provide mentorship and leadership to junior engineers and data scientists.
• Stay current with data technologies and industry trends, advocating for best practices in data management.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• A minimum of 5 years of experience in data engineering, with a focus on data platform architecture.
• Proficiency in SQL and experience with NoSQL databases such as MongoDB or Cassandra.
• Hands-on experience with cloud platforms, particularly AWS, Azure, or Google Cloud.
• Strong understanding of ETL frameworks and tools (e.g., Apache NiFi, Talend, Informatica).
• Experience in programming languages such as Python or Scala.
• Excellent communication and collaboration skills to work effectively in a team-oriented environment.

Technologies & Tools

As a Lead Data Platform Engineer, you will work with various technologies and tools, including but not limited to:

• Data Warehousing: Redshift, Snowflake
• ETL Tools: Apache Airflow, Apache Kafka
• Data Processing Frameworks: Spark, Hadoop
• Cloud Platforms: AWS, Azure, Google Cloud
• Containerization and orchestration: Docker, Kubernetes

Ideal Candidates

The ideal candidate for the Lead Data Platform Engineer position is a strategic thinker with a passion for data technology and a proven ability to deliver results in a fast-paced environment. Successful applicants will possess strong analytical skills and a keen attention to detail, coupled with the ability to communicate complex data concepts in a clear and accessible manner. They should demonstrate a proactive attitude, showing initiative in leading projects and collaborating effectively with different teams across the organization. Adaptability and a continuous learning mindset are essential traits for thriving in our dynamic work culture at Jobot.