Data Warehouse Architect

--iSupport Worldwide--

Join our team!

We are looking for a Data Warehouse Architect to design, implement, and optimize our data infrastructure. You will be responsible for creating scalable ETL/ELT pipelines, ensuring data quality and security, and centralizing data across the organization. The ideal candidate has extensive experience in data architecture, integration, and cloud technologies, particularly Google BigQuery. You’ll lead efforts to build reliable, efficient data solutions that drive business intelligence and analytics. 

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What is your mission?

You will provide the best service to our partner brands by performing these tasks:

  • Resilient Data Pipeline Maintenance: Ensure ETL/ELT pipelines, job scheduling, and code execution processes run smoothly with 99.9% uptime over the next 12 months.
  • Centralized Data Infrastructure: Lead the development of a production-ready centralized data infrastructure by integrating all key data assets across company functions within six months of joining.
  • Data Integration Scalability: Increase data integration capacity by automating and integrating at least three new data sources into the data warehouse within the first year.
  • Data Quality & Real-Time Processing: Deploy automated data quality checks and establish real-time or near-real-time data flows for business dashboards, reducing stale data incidents to less than 5% by the end of the first quarter.
  • Key Data Glossary and Training Program: Create and implement a company-wide training program and maintain a glossary of key data terms and structures, ensuring 90% of employees can access self-service reporting within six months.
  • Cost Optimization of Data Infrastructure: Reduce unnecessary costs in cloud and on-premise resources by 20% within the first year by optimizing resource allocation and modernizing outdated tools and platforms.


Who are we looking for?

  • A Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (Master’s degree preferred).
  • At least 5 years of experience as a Data Warehouse Architect or in a similar role, with strong proficiency in PythonPower BI, and Google BigQuery.
  • Experience in designing and implementing centralized data warehouses and integrating multiple data sources.
  • A proven ability to manage and maintain complex data infrastructures, including real-time data processing and automated data flows.
  • Google Cloud certifications (e.g., Google Professional Data Engineer) are preferred.
  • Certifications in data analytics tools such as Power BI or Tableau are a plus.

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Company Perks

Free learning and development courses for your personal and career growth

Comprehensive HMO benefits and insurance since day 1

Dynamic company events

Above-industry salary package and incentives

Opportunities for promotion

Free meals and snacks

Our Values

Worldwide, strongly uphold our values to be of service to our people, our clients, and our community.

WE PUT PEOPLE FIRST

We consider our people as the foundation of our success.

WE STRIVE FOR EXCELLENCE

Our commitment to quality ensures that we always do our best.

WE EMBRACE INNOVATION

We stay agile and fast, always looking for ways to solve our clients’ needs.

WE DELIVER DELIGHT

We pride ourselves on helping our clients reach their full potential.

WE CREATE REAL IMPACT

We do things right and we get the job done.