Lead Data Platform Engineer - Full Remote!

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Written by AI from the job title and company, not by Dice, so some details may not match this job. The employer's own page has the real description.

Overview

The Lead Data Platform Engineer at Dice is responsible for overseeing the design, implementation, and maintenance of data platform solutions that facilitate efficient data processing and analytics. This role requires strong leadership skills to guide a team of engineers while ensuring best practices are adhered to in system architecture and development. The ideal candidate will also collaborate with cross-functional teams to align on data requirements and deliver innovative solutions that drive business intelligence and strategy.

Job Responsibilities

• Lead the architecture, design, and implementation of scalable data platform solutions.
• Collaborate with stakeholders to define data requirements and ensure alignment with organizational goals.
• Manage a team of data engineers, providing mentorship and support for their professional development.
• Implement best practices for data governance, security, and data quality across platforms.
• Oversee the integration of various data sources into the data platform, ensuring efficient data ingestion and processing.
• Monitor and optimize the performance of data infrastructure and support troubleshooting efforts as needed.
• Stay updated on emerging technologies and assess their potential application within the data platform ecosystem.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field. A Master’s degree is preferred.
• At least 5 years of experience in data engineering, with a focus on data platforms.
• Proven experience in leading teams and managing complex technical projects.
• Strong proficiency in data architecture, data modeling, and data warehousing concepts.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with ETL tools and frameworks (e.g., Apache Spark, Apache Kafka).
• Excellent problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders.

Technologies & Tools

The Lead Data Platform Engineer will utilize a variety of technologies and tools essential for data management and analytics. Key tools include cloud platforms such as AWS, Azure, or Google Cloud, along with programming languages such as Python, Java, or Scala. Additional technologies include ETL pipelines utilizing Apache Spark and Apache Kafka, as well as data warehousing solutions like Snowflake or Redshift. Familiarity with tools for data visualization, like Tableau or Power BI, may also be advantageous.

Ideal Candidates

Ideal candidates for the Lead Data Platform Engineer position will demonstrate strong leadership qualities alongside technical expertise in data engineering. They should be highly analytical with a problem-solving mindset and possess excellent communication skills to successfully collaborate with diverse teams. A proactive approach to learning new technologies and adapting to evolving data environments is crucial. Additionally, the ability to inspire and motivate a team while driving innovation in data solutions will set successful candidates apart.