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

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

Overview

The Sr Lead Data Platform Engineer for Shopping at RemoteWorker CA will play a pivotal role in designing, developing, and maintaining robust data platforms that support the company's shopping initiatives. This position involves collaborating with cross-functional teams to enhance data quality and availability, drive analytical capabilities, and create scalable architectures. The successful candidate will leverage their expertise in data engineering to influence the strategic direction of data management practices, ensuring the alignment with business goals while establishing best practices in data governance and security.

Job Responsibilities

• Architect and build scalable, high-performance data platforms that serve as the backbone for shopping operations.
• Collaborate with product, engineering, and data science teams to define data requirements and deliver data solutions that meet organizational needs.
• Lead the implementation of data ingestion, processing, and storage strategies that enhance data reliability and access.
• Design and enforce data governance policies to ensure privacy, compliance, and security of data assets.
• Monitor, troubleshoot, and optimize data pipelines, ensuring data quality and rapid access to critical insights.
• Mentor and guide junior data engineers, fostering an environment of continuous learning and improvement.
• Stay current with industry trends and technologies to optimize architecture design and processes.

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 role.
• Strong proficiency in SQL and experience with NoSQL databases.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with ETL processes and tools (e.g., Apache Airflow, Talend).
• Solid programming experience in languages such as Python, Java, or Scala.
• Demonstrated ability to design efficient data models and architectures.
• Excellent communication and leadership skills, with a proven ability to work collaboratively across teams.

Technologies & Tools

This position utilizes a variety of technologies and tools integral to the data engineering process, including but not limited to: cloud services (AWS, GCP, Azure), SQL and NoSQL databases (e.g., PostgreSQL, MongoDB), data processing frameworks (e.g., Apache Spark, Kafka), and ETL tools (e.g., Talend, Informatica). Familiarity with CI/CD pipelines and version control systems like Git is also expected.

Ideal Candidates

The ideal candidate for the Sr Lead Data Platform Engineer role will be an analytical thinker with a passion for data and technology. They will exhibit strong problem-solving skills and attention to detail, coupled with the ability to work under limited supervision. A proactive and adaptable mindset is essential, as is the capability to thrive in a rapidly evolving environment. Strong interpersonal skills and the ability to articulate technical concepts to non-technical stakeholders are also critical for success in this role.