Full Time

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

RemoteWorker CA
Remote!
$140,000 - $180,000* / year (about $67–$87 an hour)

Job Description

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.

Job Overview

The Senior Lead Data Platform Engineer for Shopping at RemoteWorker CA will be responsible for leading the design, development, and optimization of data platforms that drive critical shopping functionalities. This role requires a blend of technical expertise and strategic vision to enhance the data architecture and capabilities of our systems. The ideal candidate will work collaboratively with cross-functional teams, ensuring data integrity, performance, and scalability across various applications to deliver impactful shopping experiences for users.



Job Responsibilities

  • Lead the design and implementation of advanced data platforms that support shopping features and analytics.
  • Collaborate with product management and engineering teams to establish data requirements and deliver robust solutions.
  • Oversee the integration of data from various sources, ensuring accuracy and timeliness for decision-making processes.
  • Optimize existing data pipelines and processes to enhance performance and reduce latency.
  • Monitor system health and performance, proactively addressing issues as needed.
  • Develop and enforce data governance policies and best practices across the organization.
  • Mentor and provide technical guidance to junior engineers and team members.
  • Stay abreast of industry trends and emerging technologies to implement best practices in data engineering.


Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree is preferred.
  • Minimum of 8 years of experience in data engineering or a related field with a focus on data platform architecture.
  • Proficiency in data management technologies, including SQL, NoSQL, and ETL processes.
  • Expertise with cloud-based data platforms such as AWS, Google Cloud, or Azure.
  • Strong programming skills in languages like Python, Java, or Scala.
  • Experience in building data warehouses and data lakes is highly desirable.
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Excellent problem-solving skills and the ability to work under tight deadlines.


Technologies & Tools

This position will utilize a range of technologies and tools, including but not limited to cloud platforms such as AWS and Google Cloud, data storage solutions like SQL databases and NoSQL databases, data processing frameworks including Apache Spark and Kafka, as well as programming languages such as Python and Java. Familiarity with data visualization tools and Business Intelligence (BI) software will also be beneficial in this role.



Ideal Candidates

Ideal candidates for the Senior Lead Data Platform Engineer position are those who possess a deep technical understanding coupled with excellent communication skills. They demonstrate a natural ability to lead and inspire teams, fostering an environment of collaboration and innovation. A passion for data-driven decisions and a strong commitment to quality assurance are crucial. Furthermore, successful candidates display a proactive mindset, always seeking to improve existing systems and workflows while maintaining a user-focused approach to data solutions.

A full-time year is 2,080 hours: $32 an hour is $66,560 a year before taxes, and $64,000 a year is $30.77 an hour. Pay calculator →

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