Data Architect

hace 4 semanas


Xico, México Palo It A tiempo completo

About Us

PALO IT is a global innovation consultancy and Agile software development company dedicated to helping organizations leverage technology to drive positive change. We work with clients to rapidly launch innovative products and services, create new business models, and foster a culture of innovation and leadership.

We are a community of innovators, designers, and technologists across 10 offices and five continents, united by a shared commitment to making a meaningful impact. Our clients are among the world's most successful companies, and we're proud to be a World Economic Forum (WEF) New Champion and a B Corp-certified company in México, Singapore, and Hong Kong.

Our Impact

We're driven by a passion to adapt to change, learn from our experiences, and move towards a more sustainable future. With 2025 as our horizon, we're taking action to:

  • Become a climate net-zero company
  • Attain 50% of revenue from projects with a positive impact
  • Train 100% of our workforce on impact
  • Achieve B Corp certification among all 11 of our offices across the globe
  • Attain 90% happy employees at PALO IT

About the Role

As a Data Architect, you will play a critical role in shaping the project and the organization. You will be responsible for designing, building, and optimizing the data infrastructure, leading and mentoring Data Engineers, and designing and evolving the data architecture. Your role is crucial to ensuring that data is accessible, secure, and efficient for analysis and decision-making.

You will work closely with development teams, database administration, and data analysts to ensure data is integrated and managed properly throughout the project lifecycle, providing strong support for the organization's strategic decision-making.

Key Responsibilities

  • Data Architecture Design: Develop and maintain data architecture aligned with organizational strategies and define and document data structures (schemas, models, diagrams).
  • Data Management and Storage: Select and implement data management technologies (databases, cloud storage, big data solutions) and ensure data storage systems are performant, secure, and scalable.
  • Data Integration: Design and manage data integration from multiple sources and develop and maintain ETL pipelines for data transformation and loading.
  • Data Security and Governance: Implement security policies to protect data integrity and confidentiality and define and oversee data governance policies and compliance standards.

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