Lead Data Platform Engineer

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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 will play a pivotal role in overseeing the design, development, and implementation of the organization's data platforms. This position entails working closely with cross-functional teams to ensure that data infrastructure aligns with business goals, optimizing data processes for efficiency and scalability. The ideal candidate will leverage their expertise in data architecture and engineering to facilitate data-driven decision-making and enhance overall data utilization within the company.

Job Responsibilities

• Design, implement, and maintain data platforms that are scalable and reliable.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver optimal solutions.
• Develop data models and architectures that support business intelligence and analytics initiatives.
• Conduct performance tuning and optimization of data pipelines.
• Ensure data integrity, consistency, and security across platforms.
• Lead and mentor a team of data engineers, providing guidance and support on best practices.
• Stay updated with the latest data management trends and technologies to drive innovation within the team.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 5+ years of experience in data engineering or related roles, with a proven track record in data platform development.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of cloud platforms, including AWS, Azure, or GCP.
• Experience with data warehousing solutions and ETL processes.
• Familiarity with SQL and NoSQL databases.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Lead Data Platform Engineer will utilize a variety of technologies and tools to effectively manage and optimize data processes. Key technologies may include cloud computing services (AWS, Azure, GCP), data warehousing solutions (Snowflake, BigQuery), ETL tools (Apache Nifi, Talend), as well as programming languages such as Python and Java for data manipulation and analysis. Familiarity with data visualization tools like Tableau or Power BI may also be beneficial.

Ideal Candidates

Ideal candidates for the Lead Data Platform Engineer position possess a strong analytical mindset coupled with a passion for data-driven solutions. They should demonstrate excellent leadership and communication skills, enabling them to effectively collaborate with diverse teams. A proactive approach to problem-solving and the ability to adapt to evolving technologies and business requirements will be key traits for success in this role. Strong interpersonal skills, coupled with a commitment to fostering a culture of innovation and continuous improvement, will also make candidates stand out.