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.

We are seeking a Senior Data Architect to drive enterprise-wide data strategy, design, and implementation across complex operational and analytical environments. In this role, you will define reference architectures, establish consistent data standards, and create innovative solutions for cloud-based data platforms, data lakes, and warehouses. You will work closely with cross-functional teams to ensure best practices are applied in data platform development, data migration, and analytics projects. The ideal candidate thrives in a collaborative, fast-paced environment, translating business requirements into scalable, high-performance data architectures that empower decision-making and AI/ML initiatives.

Accountabilities

• Define and implement enterprise data architecture, including OLTP, OLAP, MDM, and AI/ML technologies.
• Establish data standards, reference architectures, patterns, and best practices across the organization.
• Collaborate with agile teams to ensure data platform development adheres to established architectural principles.
• Design, develop, and optimize data solutions for analytics projects, data migration, and enterprise applications.
• Create and maintain conceptual, logical, and physical data models for operational and analytical systems.
• Ensure data quality, lineage, cataloging, and governance are integrated into all solutions.
• Troubleshoot complex data-related issues and provide solutions for performance, scalability, and high availability.
• Provide guidance on database technologies, both SQL and NoSQL, for cloud-native and on-premise environments.
• Communicate the value and strategy of data architecture to stakeholders and senior management.

• 10+ years of experience in information technology, with 7–10 years as a data architect.
• 5–10 years of experience in enterprise data architecture, data modeling, data management, and strategy.
• 5–7 years of experience with cloud database technologies.
• Expertise in designing ER, logical, physical, and conceptual data models for enterprise systems.
• Proficiency in batch and streaming data ingestion, data lakes, data warehouses, and analytics platforms.
• Strong knowledge of SQL, NoSQL, Azure Data Platform, Databricks, ETL processes, and MDM.
• Experience with data governance, data quality, lineage, and cataloging frameworks.
• Familiarity with business intelligence tools such as Power BI or Qlik.
• Excellent communication and interpersonal skills for interacting with technical and non-technical stakeholders.
• Preferred: Azure or cloud certifications, Kubernetes, cloud-native ecosystem experience, Informatica IICS, and knowledge of agency management systems.

• Competitive compensation reflecting experience and qualifications.
• Generous time off including personal and volunteering leave.
• Tuition reimbursement and professional development opportunities.
• Remote work flexibility.
• Charitable contribution matching programs.
• Stock purchase opportunities.
• Supportive, inclusive, and award-winning workplace culture focused on employee well-being and growth.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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