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 critical role in designing, developing, and maintaining scalable data platform architectures that drive our business intelligence and analytics initiatives. The incumbent will be responsible for leading a team of data engineers and collaborating with cross-functional teams to ensure the data solutions align with business needs. This position requires an innovative mindset and technical expertise to leverage data technologies, optimize data flow, and implement best practices to enhance data governance and security.

Job Responsibilities

• Lead the design and implementation of scalable data architectures that support data engineering and analytics efforts.
• Manage and mentor a team of data engineers, providing guidance on best practices and professional development.
• Collaborate with stakeholders to gather requirements and translate them into data solutions.
• Ensure data quality and integrity through the implementation of data governance frameworks.
• Optimize data pipelines for efficiency, speed, and reliability.
• Conduct performance tuning and troubleshooting of existing data systems.
• Stay current with emerging technologies and industry trends to incorporate them into our practices.

Qualifications

• Master’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum of 5 years of experience in data engineering or a related field.
• Proficient in programming languages such as Python, Java, or Scala.
• Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with data modeling, ETL processes, and data warehousing solutions.
• Excellent problem-solving and analytical skills, along with strong attention to detail.

Technologies & Tools

The Lead Data Platform Engineer will utilize a range of technologies and tools including, but not limited to, SQL, NoSQL databases (such as MongoDB or Cassandra), data pipeline orchestration tools such as Apache Airflow, and visualization tools like Tableau or Power BI. Familiarity with version control systems like Git and CI/CD tools is also essential to streamline development processes.

Ideal Candidates

Ideal candidates for the Lead Data Platform Engineer position will display strong leadership qualities, exceptional communication skills, and a proactive attitude towards problem-solving. They should be committed to fostering a collaborative team environment and exhibit the ability to drive projects to successful completion. A passion for data and innovation, coupled with a thirst for learning and adapting to new technologies, will set candidates apart as valuable assets to our team.