Sr. Data Architect

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Architect in United States.

This role provides an exciting opportunity to shape and lead enterprise-wide data strategy while maintaining hands-on involvement in building scalable, reliable data solutions. As a key technical leader, you will define architecture patterns, governance standards, and data platform strategies that enable analytics, AI/ML, operational systems, and business intelligence. You will collaborate closely with executives, engineering, analytics, security, and product teams to ensure data is accurate, secure, and optimized as a strategic asset. The position combines strategic vision with technical execution and offers significant influence over long-term technology decisions. It is ideal for professionals passionate about modern data architectures and creating systems that support high-impact business outcomes.

• Define and evolve enterprise data architecture aligned with business strategy, including canonical data models, integration patterns, and domain boundaries
• Design, build, and maintain scalable ETL/ELT pipelines, data warehouses, and lakehouse solutions for core business domains
• Establish and enforce standards for data modeling, schema evolution, incremental loading, and performance optimization
• Implement data quality, testing, and observability frameworks to ensure reliable, consistent data delivery
• Lead modernization initiatives, cloud migrations, and adoption of emerging capabilities such as real-time analytics and AI/ML platforms
• Partner with cross-functional teams on data contracts, governance frameworks, privacy, and compliance strategies
• Mentor engineers and architects, providing guidance on best practices and architecture decisions
• Drive enterprise-wide adoption of data standards, governance, and reusable architectural patterns

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
• 10+ years of experience in data engineering, architecture, or platform engineering
• 5+ years designing enterprise-scale cloud data architectures (AWS, Azure, or GCP)
• Expertise in data warehousing, lakehouse architecture, distributed processing, streaming, and enterprise data modeling (Kimball, Inmon, Data Vault, or domain-driven design)
• Strong understanding of data governance, metadata management, and security architecture
• Experience leading cross-functional architecture initiatives and influencing senior stakeholders
• Preferred: deep expertise with GCP services, BigQuery performance optimization, BI consumption patterns, AI/ML platform exposure, and cloud cost management
• Industry certifications (AWS Solutions Architect, Azure Architect, GCP Professional Architect) are a plus

Benefits:

• Competitive base salary: $145,000 – $180,000 per year
• Remote-first work environment with flexibility and occasional travel for team meetings
• Comprehensive medical, dental, vision, and life insurance options
• 401(k) retirement savings plan with company match
• Paid vacation, sick time, holidays, and flexible time-off policies
• Professional development budget and work-from-home stipend
• Employee assistance programs including mental health, financial planning, and legal support
• Company rewards and recognition programs, and other wellness initiatives