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 be responsible for leading the design, implementation, and maintenance of our data platform architecture. This role requires a strategic mindset to optimize data utilization across various business units. The successful candidate will collaborate with cross-functional teams to translate business requirements into technical specifications, ensuring high standards for data integrity and accessibility. Additionally, they will supervise junior engineers, providing mentorship and fostering an innovative atmosphere through best practices in data management and analytics.

Job Responsibilities

• Design and implement scalable data architecture and pipelines that support robust analytics and reporting.
• Lead a team of data engineers, providing guidance through best practices in data modeling, ETL processes, and data governance.
• Collaborate with data analysts and stakeholders to understand and prioritize data requirements.
• Conduct performance tuning and optimization of data storage solutions to ensure efficiency.
• Monitor data flows and troubleshoot issues related to data integrity and quality.
• Stay updated on emerging data technologies and evaluate their potential impact on the current data ecosystem.
• Document data architectures and processes to ensure knowledge sharing and compliance.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field; Master’s degree preferred.
• Minimum of 5 years of experience in data engineering, data architecture, or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with ETL tools and big data technologies like Apache Hadoop, Spark, or Kafka.
• Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data services.
• Exceptional analytical and problem-solving skills, with a keen attention to detail.

Technologies & Tools

The Lead Data Platform Engineer will primarily work with a suite of advanced technologies, including cloud-based data services (AWS, Google Cloud, Azure), big data tools such as Apache Hadoop and Spark, ETL frameworks, and database systems including both SQL and NoSQL options. Familiarity with data visualization tools and business intelligence software is an asset, as is a strong understanding of data governance and compliance technologies.

Ideal Candidates

Successful candidates for the Lead Data Platform Engineer position will embody strong leadership qualities and a passion for data-driven decision-making. They are expected to be proactive thinkers with an enthusiasm for innovation and continuous improvement. Ideal candidates should possess excellent communication skills to collaborate effectively with technical and non-technical stakeholders. A commitment to mentoring and developing others, along with the ability to work in a fast-paced, dynamic environment, is essential.