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costs in cloud and on-premise resources by 20% within the first year by optimizing resource allocation and modernizing outdated tools and platforms.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 Python, Power 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.