Senior Data Architect (Remote - US)

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

In this role, you will lead the design and implementation of enterprise-level data solutions that power critical business insights and decision-making. You will set the architectural vision while remaining hands-on, building scalable data pipelines, integrations, and models that meet high standards for quality, governance, and ethical data handling. Partnering closely with cross-functional teams, you will influence upstream data generation, optimize data accuracy and usability, and ensure downstream analytics are powered by high-integrity information. Your contributions will shape the overall data strategy, improve organizational data practices, and enable actionable insights across the business. This is a highly collaborative, technically challenging, and impactful position in a forward-thinking environment.

Accountabilities

• Design and implement scalable, reusable, and discoverable data pipelines and integrations aligned with enterprise goals.
• Collaborate with engineering and analytics teams to resolve data integrity issues and promote upstream improvements for long-term data quality.
• Build analytical frameworks and prototype data models to support business decision-making and evaluate system effectiveness.
• Track emerging trends in data engineering, architecture, and analytics, adapting technologies and methodologies to enhance performance and scalability.
• Partner with stakeholders to define data requirements, deliver actionable insights, and articulate data-driven strategies.
• Champion best practices in data governance, privacy, and ethical data handling across teams.
• Mentor junior data engineers and architects, promoting standards and consistent practices across the organization.

• 7+ years of experience in data analysis, data engineering, business intelligence, or related fields.
• Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field (or equivalent experience).
• Hands-on experience with SQL, Python, PowerBI, Workday, Salesforce, or other data analytics tools.
• Strong expertise in data modeling, pipeline design, data integration, and architecture best practices.
• Proven ability to influence stakeholders and implement governance, quality, and privacy standards.
• Experience in consulting, with 4+ years of client-facing engagement preferred.
• Excellent problem-solving, analytical, and communication skills.
• Master’s degree or additional certifications in data-related fields is a plus.