Sr Lead Data Platform Engineer, Shopping (Remote-Eligible)

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Job Overview

The Senior Lead Data Platform Engineer for Shopping at ClickJobs.io plays a pivotal role in architecting and enhancing data platforms that power shopping experiences. The ideal candidate will exhibit profound expertise in data engineering, ensuring optimal performance, scalability, and reliability of data processing systems. This position involves strategic decision-making, oversight of technology implementations, and collaboration with interdisciplinary teams to drive data-driven insights that enhance consumer engagement and operational efficiency.

Job Responsibilities

• Design and implement robust data architectures and pipelines to support shopping-related data analytics.
• Lead the development of data platform features, ensuring high performance and responsive systems.
• Collaborate with product managers, data scientists, and operational teams to gather and define data requirements.
• Optimize data storage, retrieval, and computing processes to ensure efficiency and cost-effectiveness.
• Conduct regular assessments of data systems for security and compliance, addressing issues proactively.
• Mentor junior engineers and foster a culture of continuous improvement within the engineering team.
• Stay abreast of industry trends and emerging technologies to incorporate them into the data strategy.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related field, with a focus on large-scale data platforms.
• Proficient in programming languages such as Python, Java, or Scala.
• Extensive experience with data processing frameworks (e.g., Apache Spark, Hadoop).
• Strong working knowledge of SQL and NoSQL databases.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and related services.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The Senior Lead Data Platform Engineer will utilize a variety of technologies and tools to execute their responsibilities. This includes cloud computing platforms like AWS and Azure, data processing frameworks such as Apache Spark and Hadoop, databases including both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra), as well as data orchestration tools like Apache Airflow. Additionally, familiarity with version control systems (e.g., Git) and CI/CD pipelines is essential for ensuring efficient development workflows.

Ideal Candidates

Ideal candidates for the Senior Lead Data Platform Engineer position will exhibit strong leadership qualities, demonstrating the ability to inspire and guide team members toward achieving project goals. They will possess exceptional analytical and strategic thinking skills, combined with a keen attention to detail. Effective communication and collaboration capabilities are crucial, as the role requires regular interaction with cross-functional teams. A proactive approach and a passion for innovation in data technology will set successful candidates apart in this dynamic work environment.