Data Architect

Key Skills

Data Analytics, Data Governance, Data Modeling, Data science techniques, Database, Design, ETL/ELT technologies, Management, SQL Server

Job Description

At Iron Mountain we protect what our customers value most, from the everyday to the extraordinary. We build customer value around the world with a passion for preserving the physical, transforming the digital, and respecting the environmental. We pioneered the industry for global records and information management and have established some of the best customer relationships in the industry with 95% of the Fortune 1000 companies among our 225,000 loyal customers. Here, you’ll bring your expertise and creativity to a workplace that thrives on continuous improvement. Here, you’ll be part of a global workforce that embraces the differences among us. And here, we’ll encourage you to Climb Higher for the benefit of our customers and each other. There is so much more, but enough about us. We can’t wait to hear about YOU.

DATA ARCHITECT

About the Opportunity

At Iron Mountain, together we embrace the climb. As we continue our journey of growth, we are looking forward to inviting talented Data Architects to join our team in Iron Mountain LATAM to be a part of our global organization. At Iron Mountain we protect what our customers value most, from the everyday to the extraordinary, while helping them bridge the physical and digital world. Our people have the opportunity to bring their creativity to a workplace that thrives on change. Here, you will be part of a team that doesn’t just embrace what’s exceptional, we create exceptional.

This position is hybrid and reports to the Head of Global Initiatives & Intelligent Automation.

The Analytics Architect will be responsible for understanding and translating business strategies and priorities into design and architecture which will include building a modern data analytics platform, creating data models for reporting, mapping data in the source systems, working on development of extraction and load of data in the data warehouse, ensuring data quality and accessibility, and assisting in development of reports and dashboards that will provide data insights and help drive key decisions for the business users and senior leadership. This role will work closely with IT teams to develop a world class data and analytics practice.

Key Responsibilities:

• Design and develop robust, high-performance, and future-proof data and analytics platform and solutions.
• Translate business goal, needs, and metrics into data management, analytics functions, and requirements.
• Gather and translate business requirements into technical specifications using structure techniques and data warehousing methodology.
• Develop the enterprise’s capacity to develop insights from analytics.
• Create conceptual, logical, and physical data models scalable across the Enterprise.
• Develop, maintain, and support data warehouse and data mart structure.
• Define and enforce data modeling and architecture standards, procedures and policies to ensure consistency across project implementations.
• Establish best practices for ingesting and staging enterprise data, data management, consumption patterns, and data security.
• Recommend Master Data Management practices for the company. Measure master data and reference data for compliance to policy, standards, and models.
• Work with Database Administrators to migrate complex large- scale applications into test and production environments 
• Integrate new data with existing warehouse structure and continuously improve system functionality
• Develop and maintain all standards in accordance with data structures and models 

KEY SKILLS, REQUIREMENTS AND COMPETENCIES:

• 2+ years of direct management experience for employees and their performance
• 4 Year degree in Information Systems/Data Science/Computer Science preferred
• 10+ years of experience of delivering Data and Analytics solutions
• Strong business acumen with 10+ years of experience delivering data and analytics solutions.
• 5+ years of experience working with SQL server, database schemas and ETL.

Preferred Qualifications

• Deep understanding of data warehousing and data modeling, data integration/ETL, design, development, data governance, data integrity, data quality, MDM, data security and classification, and best practice for building reporting and analytics.
• Experienced in database and data warehouse optimization and performance tuning.
• Demonstrated problem solving and analytical skills
• Data science implementation using Python and deep learning tools
• Proven ability to work productively and efficiently in an independent setting
• Proven ability to clearly communicate with managers and associates at all levels
• Global perspective and solid understanding of business objectives
• Excellent attention to detail and work with the highest level of accuracy
• Initiative to develop tools, data collection processes, and data management systems
• Certified or willing to become trained in Google data catalog, Big Query, Astronomer, Airflow.
• Data engineering knowledge and understanding of various technologies
• Visualization Experience with Tableau and Google Studio
• Skills in implementation of large analytical development experience with MDM, data governance solutions.

WHAT’S IN IT FOR YOU?

• Be part of an ever evolving global organization focused on transformation and innovation
• A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self
• Global connectivity to learn from 26,000+ teammates across 62 countries
• Be part of a winning team who embrace diversity, inclusion, and our differences
• Competitive Total Reward offerings to support your career at Iron Mountain, family, personal wellness, financial wellbeing, and retirement.

Category: Information Technology

Iron Mountain Incorporated, founded in 1951, is the global leader for storage and information management services. Trusted by more than 225,000 organizations around the world in approximately 50 countries, Iron Mountain stores and protects billions of valued assets, including critical business information, highly sensitive data, and cultural and historical artifacts.