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 is responsible for designing, implementing, and maintaining robust data strategies and architectures that support various business objectives. This role entails leading a team of engineers to ensure optimal data flow, system integration, and performance enhancements. The ideal candidate will work collaboratively across departments, establishing best practices for data management while leveraging advanced technologies to innovate solutions that drive analytical capabilities and efficiency within the organization.

Job Responsibilities

• Design and implement scalable data architectures to support analytics and reporting needs.
• Lead the development of data ingestion processes, pipelines, and storage solutions.
• Collaborate with cross-functional teams to gather requirements and provide data solutions that meet business needs.
• Manage and mentor a team of data platform engineers, providing technical guidance and fostering professional growth.
• Evaluate and recommend new technologies, tools, and techniques to optimize data processing and storage.
• Ensure data integrity, security, and compliance with relevant regulations.
• Monitor and troubleshoot data systems and processes to maintain high performance and reliability.
• Create and maintain documentation for data architectures, workflows, and team processes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master’s degree is a plus.
• 5+ years of experience in data engineering, with at least 2 years in a lead or management role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data warehousing solutions and ETL processes.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of database technologies including SQL and NoSQL systems.
• Experience with data visualization tools (e.g., Tableau, Looker) is preferred.
• Excellent problem-solving skills and the capacity to thrive in a fast-paced environment.

Technologies & Tools

The Lead Data Platform Engineer will engage with a variety of technologies and tools to optimize data processing and analytics capabilities. This includes, but is not limited to, cloud platforms such as AWS and Azure, ETL tools like Apache NiFi or Talend, data warehousing solutions such as Snowflake or Redshift, as well as programming frameworks like Apache Spark for large-scale data processing.

Ideal Candidates

The ideal candidates for the Lead Data Platform Engineer position are those who exhibit strong leadership qualities, exceptional analytical thinking, and a passion for data-driven decision-making. They should possess excellent communication skills to effectively collaborate with various teams and stakeholders. Additionally, the ability to adapt to evolving technologies and a proactive approach to problem-solving will be key drivers for success in this role at Jobot.