Lead Data Platform Engineer

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Written by AI from the job title and company, not by Jobot, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Lead Data Platform Engineer at Jobot will play a crucial role in designing and implementing robust data solutions that facilitate efficient data management and analytics across the organization. This position requires a strong technical background along with leadership capabilities to oversee a team of data engineers. The successful candidate will drive the development of scalable data architectures, ensure data quality, and enhance the overall data strategy in alignment with business objectives.

Job Responsibilities

• Design and develop scalable data architectures to support data storage, processing, and analytics.
• Lead cross-functional teams in the deployment of advanced data solutions across the organization.
• Ensure the quality and integrity of data in various data pipelines and repositories.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Implement and maintain data governance practices to ensure compliance with regulatory standards.
• Mentor and train junior data engineers, promoting best practices in data engineering.
• Evaluate and integrate new technologies and tools to optimize data processing workflows.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in data engineering or a related field.
• Proven experience with data warehousing and ETL processes.
• Proficient in programming languages such as Python, SQL, or Java.
• Strong knowledge of big data technologies including Hadoop, Spark, and Kafka.
• Excellent understanding of database management systems (e.g., PostgreSQL, MongoDB).
• Demonstrated leadership abilities with experience managing technical teams.
• Strong problem-solving skills and ability to work under pressure.

Technologies & Tools

The Lead Data Platform Engineer will utilize a range of cutting-edge technologies and tools, including but not limited to, Apache Hadoop for distributed data processing, Apache Spark for big data analytics, Apache Kafka for real-time data streaming, along with SQL and NoSQL databases such as PostgreSQL and MongoDB. Familiarity with cloud platforms like AWS or Azure is also essential for deploying scalable data solutions.

Ideal Candidates

The ideal candidates for this position will possess a strong analytical mindset coupled with a passion for data engineering. They will exhibit exceptional leadership skills, demonstrating the ability to inspire and guide team members toward achieving common goals. Successful candidates will be adaptable, with a proactive approach to problem-solving and a commitment to continuous improvement in data practices. Excellent communication skills are necessary to collaborate effectively across diverse teams and to present technical concepts to non-technical stakeholders.