DataBricks Lead Engineer

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Overview

The DataBricks Lead Engineer at Dice will play a pivotal role in leading and mentoring a team focused on leveraging the capabilities of the DataBricks platform to deliver data-driven solutions. This position entails designing, implementing, and optimizing data pipelines and analytical processes. The Lead Engineer will collaborate with stakeholders to define technical requirements and ensure the successful execution of data projects that align with business objectives. Through your expertise, you will facilitate best practices in data management and analytics, ensuring the team delivers high-quality insights and solutions.

Job Responsibilities

• Lead the design, development, and deployment of scalable data pipelines on the DataBricks platform.
• Collaborate with data scientists, analysts, and other engineering teams to define and implement efficient data architectures.
• Implement best practices for data governance, security, and quality assurance within the data ecosystem.
• Mentor junior engineers and facilitate knowledge sharing within the team to enhance overall team performance.
• Monitor system performance and optimize data workflows for improved efficiency and scalability.
• Engage with stakeholders to gather requirements and translate them into technical specifications and solutions.
• Stay current with industry trends and emerging technologies to recommend improvements or innovations.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field; a Master's degree is preferred.
• 5+ years of experience in data engineering or a related role, with a focus on data pipeline development.
• Proficiency in working with the DataBricks platform and familiarity with Apache Spark.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Solid understanding of data warehousing concepts and database design principles.
• Proven experience in mentoring and managing engineering teams.
• Strong analytical and problem-solving skills with attention to detail.

Technologies & Tools

The DataBricks Lead Engineer will work with a range of technologies and tools, including Apache Spark for big data processing, Python and SQL for data manipulation, and cloud platforms such as AWS or Azure for deployment and management of data pipelines. Familiarity with ETL tools, data cataloging solutions, and workflow orchestration platforms like Airflow may also be beneficial. The successful candidate will leverage version control systems like Git and project management tools to enhance team collaboration and delivery efficiency.

Ideal Candidates

Ideal candidates for the DataBricks Lead Engineer position will demonstrate strong leadership qualities, showcasing the ability to inspire and guide a team while driving complex data initiatives. They will possess excellent communication skills, enabling them to articulate technical concepts to non-technical stakeholders effectively. A proactive approach to problem-solving, along with a passion for innovation and continuous improvement, will be essential. The ideal candidate should also be adaptable and comfortable working in a fast-paced environment, with a keen interest in staying updated with the latest advancements in data engineering and analytics.