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

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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 Senior Lead Data Platform Engineer for Shopping at RemoteWorker CA will play a pivotal role in designing, implementing, and maintaining advanced data platforms and solutions to support retail shopping applications. This position requires a combination of technical expertise and leadership skills to drive data strategy, architecture, and engineering efforts. The ideal candidate will collaborate closely with cross-functional teams to ensure that data is effectively managed, accessible, and leveraged to enhance the shopping experience for customers. As a remote-eligible role, the candidate must demonstrate an ability to work independently while maintaining strong communication with teams and stakeholders.

Job Responsibilities

• Lead the design and development of scalable data platforms that meet organizational needs for shopping applications.
• Oversee the implementation of data models, ETL processes, and data warehousing solutions.
• Collaborate with data scientists, analysts, and product teams to define data requirements and optimize data flows.
• Ensure data governance, quality, and integrity across various shopping data sources.
• Evaluate new tools and technologies to enhance capabilities and improve data processing efficiency.
• Mentor and guide junior engineers on best practices in data platform engineering.
• Develop and enforce data security protocols and privacy policies in line with regulatory requirements.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field; advanced degree preferred.
• Minimum of 7 years of experience in data engineering, analytics, or related roles.
• Proficient in programming languages such as Python, SQL, and Java.
• Strong expertise in data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
• Experience with ETL tools like Apache NiFi, Talend, or Informatica.
• Familiarity with cloud services (AWS, Azure, or Google Cloud Platform) and containerization technologies like Docker.
• Demonstrated leadership skills with experience in leading technical teams.

Technologies & Tools

The Senior Lead Data Platform Engineer will utilize a variety of technologies and tools, including data warehousing solutions like Amazon Redshift and Google BigQuery, ETL tools such as Apache NiFi and Talend, and programming languages including Python and SQL. Additionally, familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as containerization tools like Docker, will be integral to the role. Knowledge of data governance tools and data visualization software will also be beneficial.

Ideal Candidates

Ideal candidates for this position will possess strong analytical skills combined with technical acumen, allowing them to tackle complex data challenges effectively. They will be proactive problem solvers who can adapt to changing requirements and technologies. Strong communication skills are essential, as the role involves collaboration with a variety of stakeholders. A passion for data-driven decision-making and a commitment to maintaining high standards of data integrity and quality are also important traits for success in this role.