Full Time

Lead Data Platform Engineer

Jobot
$120,000 - $160,000* / year (about $58–$77 an hour)

Job Description

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.

Job Overview

The Lead Data Platform Engineer at Jobot will be responsible for designing, implementing, and maintaining robust data platforms that support the organization’s data strategy. This role requires a deep understanding of data architecture, engineering practices, and cloud technologies. The successful candidate will lead a team of engineers, collaborating with cross-functional groups to ensure seamless data integration, scalability, and performance optimization of data solutions while adhering to industry best practices and aligning with business needs.



Job Responsibilities

  • Design, develop, and optimize data pipelines and architectures for data ingestion, storage, and processing.
  • Lead the data engineering team to implement data solutions that meet business requirements.
  • Collaborate with data scientists and analysts to support analytical reporting and data modeling efforts.
  • Monitor system performance and identify opportunities for optimization and scaling of data solutions.
  • Ensure data governance policies are established and maintained for data quality and security.
  • Stay updated on emerging trends in data technologies and best practices to innovate and enhance the data platform.
  • Conduct code reviews and provide mentorship to junior team members to foster growth and development.


Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • 5+ years of experience in data engineering or a related field, with a proven track record of leading projects.
  • Extensive experience with SQL, NoSQL databases, and data warehousing solutions.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of data modeling, ETL processes, and data architecture principles.
  • Excellent problem-solving and analytical skills with a keen attention to detail.
  • Strong communication skills and the ability to work collaboratively in cross-functional teams.


Technologies & Tools

The Lead Data Platform Engineer will work with a variety of technologies to build and manage data solutions. This includes cloud services such as AWS or Azure for data storage and processing, tools like Apache Spark for big data processing, and ETL tools for data integration. The engineer will also utilize SQL and NoSQL databases, along with data visualization tools for reporting and analysis. Familiarity with Git for version control and CI/CD pipelines for deployment is also essential.



Ideal Candidates

The ideal candidate for this position will possess a strong technical foundation in data engineering and exhibit leadership qualities. They will exemplify a proactive approach to problem-solving and demonstrate the ability to thrive in a fast-paced, dynamic environment. Effective communication skills and a collaborative spirit are crucial, as the candidate will interact with various stakeholders. Additionally, a passion for data and innovation, combined with a commitment to quality and best practices, will set them apart as a strong fit for the Lead Data Platform Engineer role at Jobot.

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