Senior Data Architect

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

This role is designed for an experienced data professional who will lead the design and implementation of scalable, secure, and high-performing data architectures. You will collaborate closely with engineers, project managers, and clients to translate business requirements into technical solutions, guiding cloud-native and AWS-based initiatives. The position involves overseeing database migrations, OLTP/OLAP system designs, and ML system architecture, ensuring data solutions meet performance, security, and cost-efficiency goals. You will mentor teams, produce technical documentation, and act as a trusted advisor in all phases of data engineering projects. This role requires a combination of hands-on technical expertise, strategic thinking, and the ability to work across distributed teams in a fully remote environment.

Accountabilities

• Design, implement, and maintain robust data architectures across cloud and on-premise environments.
• Lead multi-database migration projects with minimal downtime, ensuring high availability and security.
• Collaborate with clients and internal teams to gather requirements, groom backlogs, and drive architecture discussions.
• Develop and maintain OLTP and OLAP systems, including indexing, normalization, dimensional modeling, and ER design.
• Create architecture diagrams, technical documentation, runbooks, and migration playbooks.
• Apply DevOps principles including CI/CD, Infrastructure as Code, security monitoring, and automation.
• Mentor and coach engineers, guiding best practices and fostering continuous learning within the team.
  
  

Requirements

• 6+ years of experience in RDBMS architecture and 3+ years of AWS architecture experience.

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• Expertise in at least two major RDBMS platforms such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Advanced skills in database security, HA/DR, performance analysis, query optimization, and troubleshooting.
• Proficiency with AWS services including RDS, Aurora, EC2, and cloud-native application design.
• Strong Python scripting and automation skills for workloads.
• Experience with DevOps pipelines, CI/CD, security, FinOps, and Infrastructure as Code.
• Prior consulting or professional services experience preferred.
• AWS certifications (Professional/Specialty) and Bachelor’s/Master’s degree in a related field preferred.
• Advanced English proficiency (minimum C1) for communication across global teams.
• Ability to travel up to 25% as needed and operate effectively in fully remote, distributed teams.
  
  

Benefits

• 100% remote work with flexible schedules.

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• Competitive base salary: $140,000 - $157,500 per year, commensurate with experience.
• Additional compensation components including bonuses, commissions, or equity.
• Generous holidays, flexible PTO, and peer bonus awards.
• Paid certification exams and professional development programs.
• State-of-the-art equipment, office stipend, and learning & development support.
• Opportunity to work with a diverse, worldwide team in a collaborative and innovative culture.
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.