Big Data Solutions Architect

2 weeks ago


Vancouver, British Columbia, Canada Tbwa ChiatDay Inc Full time

Company Overview

Launchpad is a leader in North America's rapidly growing tech sector, focusing on digital transformation through two solutions: PaasportTM and Nearshore Staff Augmentation. Our commitment to innovation has garnered recognition as a Deloitte Technology Fast 50 Program Company.

About Us

We are a people-first technology company that supports our clients with digital transformation. Our goal is to help businesses streamline software integration and automate workflows using our iPaaS solution. We also connect top IT talent across various geographical regions, bringing industry expertise to leading clients.

Salary

We offer an excellent compensation package in US Dollars, including hardware setup for remote work and opportunities for professional growth. The estimated salary for this role is around $120,000 per year, depending on experience.

Job Description

As a Big Data Solutions Architect, you will design, develop, and maintain scalable and efficient data pipelines and architectures. You will collaborate with data scientists and analysts to understand data requirements and implement ETL processes for data ingestion, transformation, and loading.

  • Create data models, schema, and structures to support business intelligence initiatives.
  • Implement data governance and compliance strategies to ensure the quality, reliability, and integrity of the data infrastructure.
  • Optimize database performance and troubleshoot issues related to data processing.
  • Collaborate with cross-functional teams to integrate data solutions into applications.
  • Stay updated on emerging data technologies, tools, and best practices.
  • Provide technical support and troubleshoot data-related issues.

Requirements

To succeed in this role, you should have a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. You should also have proven experience as a Data Engineer or in a similar role, with experience in data warehousing concepts and technologies. A strong understanding of big data technologies and distributed systems is essential.

Preferred Skills

We prefer candidates with experience in cloud-based data solutions, knowledge of data governance and compliance, familiarity with data lakes and NoSQL databases, and understanding of data security and encryption. Previous experience with real-time data processing is also beneficial.

Benefits

We offer a people-first culture, 100% remote work flexibility, excellent compensation in US Dollars, hardware setup for working from home, and training allowances. You will also have access to global teams and prominent brands based in North America, Europe, and Asia, with opportunities for personal time off (PTO) and vacation time.



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