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.

Overview

The Lead Data Platform Engineer at Jobot plays a pivotal role in developing and managing robust data infrastructure and analytics solutions that empower the company to leverage its data assets effectively. This position is primarily focused on architecting, building, and optimizing scalable data platforms while leading a team of engineers to deliver innovative data solutions. The successful candidate will work closely with cross-functional teams to ensure the best practices in data management and security are maintained, enabling optimal data utilization for business insights and strategic decision-making.

Job Responsibilities

• Design, develop, and implement scalable data platforms and architecture that support complex data analytics and operations.
• Lead the engineering team in building efficient data pipelines and integrating various data sources for comprehensive reporting and analysis.
• Enhance data quality and integrity by employing rigorous validation and monitoring practices.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
• Implement best practices in data governance and ensure compliance with security standards.
• Provide mentorship and technical guidance to junior engineers, fostering a culture of continuous improvement and learning.
• Evaluate and incorporate new technologies and tools to enhance the data platform capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering or related field, with at least 2 years in a lead or architectural role.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with databases and data warehousing solutions, specifically SQL and NoSQL technologies.
• Strong familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data handling tools (e.g., Apache Spark, Hadoop).
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication and interpersonal skills to effectively collaborate with diverse teams.

Technologies & Tools

The Lead Data Platform Engineer will utilize a variety of technologies and tools to ensure the effective design and implementation of data solutions. Key technologies include cloud-based platforms such as AWS or Google Cloud, data processing frameworks like Apache Spark and Hadoop, and database management systems including SQL and NoSQL solutions. Familiarity with data integration tools and ETL processes is essential for this role, along with knowledge of containerization technologies like Docker and orchestration frameworks like Kubernetes.

Ideal Candidates

Ideal candidates for the Lead Data Platform Engineer position possess a blend of technical expertise and leadership capabilities. They are proactive problem solvers with a passion for data and analytics, capable of working independently as well as part of a team. A strong candidate will demonstrate effective communication skills, enabling seamless interactions with technical and non-technical stakeholders alike. Additionally, they exhibit a growth mindset, are willing to stay updated on industry trends, and are enthusiastic about mentoring others in the field.