Lead Data Platform Engineer

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Overview

Jobot is seeking an experienced Lead Data Platform Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining robust data platforms that support our business intelligence and analytics initiatives. You will collaborate with cross-functional teams to optimize data workflows, ensure data integrity, and deliver actionable insights that drive decision-making. Your leadership will guide a talented team of engineers, promoting best practices in data architecture and engineering in alignment with our strategic goals.

Job Responsibilities

• Lead the design and implementation of scalable data platforms that meet organizational needs.
• Collaborate with software developers, data scientists, and business stakeholders to understand data requirements and develop solutions.
• Oversee data management processes including data collection, cleansing, and storage.
• Champion best practices in data architecture, modeling, and infrastructure.
• Develop and maintain data pipelines for ETL processes, ensuring data accuracy and integrity.
• Monitor data platform performance and troubleshoot issues as they arise.
• Stay updated with industry trends and emerging technologies to drive innovation within the team.
• Mentor and train junior engineers, enhancing their skills and promoting a culture of continuous improvement.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in data engineering or a similar role.
• Proficiency in data modeling, database design, and data architecture practices.
• Strong experience with ETL/ELT data pipeline development and tools.
• Expertise in programming languages such as Python, R, or Java.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving skills and attention to detail.
• Strong communication and leadership abilities.

Technologies & Tools

The Lead Data Platform Engineer will work with a diverse array of technologies and tools essential for data processing and analysis. Key technologies include cloud services such as AWS or Azure, frameworks like Apache Hadoop and Spark for big data processing, databases such as PostgreSQL, MongoDB, and data visualization tools like Tableau or Looker. Proficiency in programming with languages such as Python and Java is crucial for creating efficient pipelines and integrations.

Ideal Candidates

The ideal candidate for this position possesses a strong technical background coupled with excellent leadership skills. They should demonstrate a deep passion for data and a commitment to leveraging data as a strategic asset. Strong communicators who can articulate complex concepts to non-technical stakeholders will thrive in this role. A proactive approach to problem-solving, an eagerness to mentor others, and the ability to adapt in a fast-paced environment are critical traits that will enhance team performance and foster innovation.