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 pivotal role in enhancing our data architecture and engineering practices. This individual will lead a team focused on designing, implementing, and optimizing scalable data systems that support our data analytics initiatives. The ideal candidate will bring a mix of technical expertise and leadership skills to drive innovation while ensuring high standards of data quality and availability. Collaboration with cross-functional teams will be essential to achieve the organization’s data-driven goals.

Job Responsibilities

• Design and develop robust data architectures to support analytics and business intelligence functions.
• Lead and mentor a team of data engineers to improve data processing and storage solutions.
• Implement data integration strategies and ensure timely delivery of data pipelines.
• Collaborate with data scientists and analysts to understand data requirements and ensure alignment with business objectives.
• Monitor performance and optimize existing data workflows for efficiency and reliability.
• Establish and enforce best practices for data management, governance, and security.
• Stay current with industry trends and emerging technologies to leverage innovative solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field. A Master's degree is preferred.
• 7+ years of experience in data engineering or a related field, with at least 3 years in a leadership role.
• Strong proficiency in SQL and experience with NoSQL databases such as MongoDB or Cassandra.
• In-depth knowledge of data pipeline and ETL tools (e.g., Apache Airflow, Talend).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., Redshift, BigQuery).
• Familiarity with programming languages such as Python, Java, or Scala.
• Proven track record in data architecture design and data governance frameworks.

Technologies & Tools

The Lead Data Platform Engineer role requires the use of a variety of technologies and tools. Key technologies include cloud platforms such as AWS or Google Cloud, data transformation and orchestration tools like Apache Airflow, and database technologies including SQL and NoSQL solutions. Proficiency in programming languages such as Python or Java is crucial, as well as experience with data warehouse solutions to ensure efficient data storage and retrieval processes.

Ideal Candidates

The ideal candidate for this position will possess strong analytical and problem-solving skills, with an ability to think critically and creatively to drive data solutions. They should demonstrate exceptional communication and interpersonal skills to facilitate collaboration across teams. A proactive attitude, coupled with a passion for mentoring junior engineers and fostering a positive team environment, will make a candidate stand out. A commitment to continuous improvement and staying ahead of industry trends is essential for success in this dynamic role.