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 designing, implementing, and maintaining robust data platform architectures that facilitate efficient data storage, retrieval, and analytics. This role involves collaborating with cross-functional teams to develop strategies for data governance, data modeling, and data integration. A candidate in this position will leverage their expertise to guide the development of scalable data solutions, ensuring data integrity and performance while promoting best practices in data management.

Job Responsibilities

• Design and architect data platforms that support both operational and analytical workloads.
• Lead initiatives for data governance and best practices across the organization.
• Collaborate with stakeholders to define data requirements and create effective data models.
• Implement ETL processes to ensure efficient data extraction, transformation, and loading.
• Monitor and optimize data workflows to improve performance and reliability.
• Conduct troubleshooting and debugging for data-related issues and provide timely resolutions.
• Stay current with industry trends and advancements in data platform technologies.
• Mentor junior engineers and promote a culture of continuous improvement.

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 role.
• Proficiency in SQL and experience with NoSQL databases such as MongoDB or Cassandra.
• Strong knowledge of data warehousing concepts and technologies.
• Experience with data integration tools (e.g., Talend, Apache NiFi) and data pipelines.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of data security and compliance requirements.
• Excellent problem-solving skills and ability to work in a collaborative environment.

Technologies & Tools

The Lead Data Platform Engineer will work with a variety of technologies and tools including but not limited to SQL databases (PostgreSQL, MySQL), NoSQL databases (MongoDB, Cassandra), data warehousing solutions (Snowflake, Redshift), and ETL tools (Apache Airflow, Talend). Familiarity with cloud services (AWS, Azure) and programming languages such as Python or Java will be essential for this role, along with visualization tools like Tableau or Power BI for analytics and reporting purposes.

Ideal Candidates

The ideal candidate for the Lead Data Platform Engineer position will possess strong leadership qualities, a passion for technology, and a commitment to excellence in data management. They will be proactive in identifying opportunities for process improvement and possess strong communication skills to collaborate effectively with stakeholders. Furthermore, they should be adaptable to evolving technologies and methodologies, demonstrating a strong desire for continuous learning and growth within the field of data engineering.