Principal Data Architect

Ladders; United States; Remote; USD 210,000 - 300,000; Full time

Benefits offered by this job

Hybrid work model offering flexibility

Work with cutting-edge big data tools

Professional development through cross

Engagement with industry trends and最佳實

Job summary

Ladders is seeking a Principal Data Architect to shape enterprise data architecture strategy and guide scalable data solutions across the organization. Remote role with cross-functional collaboration across data engineering and analytics teams.

The position emphasizes governance, quality, and performance optimization for large-scale environments and requires strong qualifications in modern data technologies and certifications.

Qualifications

• Bachelor's degree in Business Analytics, Computer Science, or Statistics; Master's degree in Data Science preferred.
• Certified Data Management Professional and Databricks certifications required
• Microsoft Certified: Azure Data Engineer Associate and Oracle Database 12c Certified Implementation Specialist are advantageous
• Proficiency in English at a C2 level is mandatory
• Experience in data engineering and big data technologies is essential

Responsibilities

• Develop and implement data architecture strategies aligned with business objectives
• Lead the design and execution of big data solutions and data pipelines
• Collaborate with cross-functional teams to gather requirements and create data models
• Ensure data quality and integrity through effective governance practices
• Optimize performance for large-scale data storage, processing, and retrieval
• Evaluate and recommend new technologies for big data processing and analytics
• Provide mentorship and technical guidance to data engineering teams

Skills

Data engineering

Big data technologies

Data modeling

English (C2 level)

Education

Bachelor's degree in Analytics/CS/Statistics; Master's in Data Science preferred

Tools

Certified Data Management Professional

Databricks certifications

Microsoft Certified: Azure Data Engineer Associate

Oracle Database 12c Certified Implementation Specialist

Job description

For our client, we are seeking a Principal Data Architect to join the team of a leader in the Business Services space.

This role will shape enterprise data architecture strategy and guide the design of scalable data solutions that support business objectives across the organization. The position partners closely with data engineering, analytics, and other cross-functional stakeholders to translate requirements into robust data models and pipelines. It also emphasizes governance, quality, and performance optimization for large-scale data environments while helping evaluate emerging technologies.

Location: Remote

Compensation: $210,000 – $300,000 annually

Responsibilities

• Develop and implement data architecture strategies aligned with business objectives
• Lead the design and execution of big data solutions and data pipelines
• Collaborate with cross-functional teams to gather requirements and create data models
• Ensure data quality and integrity through effective governance practices
• Optimize performance for large-scale data storage, processing, and retrieval
• Evaluate and recommend new technologies for big data processing and analytics
• Provide mentorship and technical guidance to data engineering teams

Qualifications

• Bachelor's degree in Business Analytics, Computer Science, or Statistics; Master's degree in Data Science preferred
• Certified Data Management Professional and Databricks certifications required
• Microsoft Certified: Azure Data Engineer Associate and Oracle Database 12c Certified Implementation Specialist are advantageous
• Proficiency in English at a C2 level is mandatory
• Experience in data engineering and big data technologies is essential

Benefits

• Hybrid work model offering flexibility between remote and in-office work
• Opportunity to work with cutting-edge big data technologies and tools
• Professional development through mentorship and collaboration with cross-functional teams
• Engagement with industry trends and best practices in data architecture

Our client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification- your background could be exactly what this team needs.