Azure Data Architect (Lost) (Remote - US) - job 1 of 2
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Azure Data Architect (Lost) in the United States.
As an Azure Data Architect, you will play a key role in designing, implementing, and delivering large-scale data solutions on the Microsoft Azure platform. This is a highly hands-on opportunity, with a focus on building modern data warehouses, analytics pipelines, and AI/ML model execution workflows. You will collaborate closely with engineering teams, product owners, and project managers to ensure scalable, high-performance data architectures that meet enterprise requirements. The role offers a chance to influence engineering standards, mentor peers, and contribute to the growth and maturity of the analytics and AI ecosystem. The ideal candidate is a seasoned professional with deep experience in Azure, Python, and BI technologies, who thrives in fast-paced, collaborative environments.
Accountabilities
- Design and develop large-scale data warehouses and pipelines within Azure, supporting near real-time analytics and AI applications.
- Build and maintain Azure ML model execution pipelines to operationalize machine learning workflows.
- Evangelize engineering design and development standards across the team.
- Participate in the full software development lifecycle, including Agile ceremonies, sprint planning, code reviews, and product demonstrations.
- Author efficient, maintainable code and unit tests following best practices.
- Mentor junior engineers and contribute to the overall growth and technical excellence of the engineering group.
- Maintain technical documentation and communicate progress, risks, and issues proactively to stakeholders.
- 10+ years of hands-on experience designing and implementing large-scale distributed data architectures for BI and OLTP systems.
- 10+ years of experience designing and implementing data pipelines.
- 5+ years of hands-on experience with Azure data services and Microsoft SQL technologies.
- Experience with data integration using ETL/ELT tools and APIs (REST/SOAP/Web Services).
- 5+ years of experience with Python, including object-oriented programming, unit testing, parallel processing, and data analysis libraries.
- Advanced data modeling skills and experience with multi-tenant architectures, messaging systems, and diverse data processing engines.
- Familiarity with Azure DevOps, CI/CD pipelines, Git, Jenkins, Jira, and Confluence.
- Knowledge of SOA and Microservices architecture.
- Strong communication, collaboration, and mentoring skills, with the ability to work independently in a fast-paced environment.
- Bachelor’s degree in Computer Science or related field; Master’s degree preferred.
- 100% remote work flexibility.
- Competitive compensation based on experience and skills.
- Opportunity to work on cutting-edge Azure AI and analytics technologies.
- Collaboration with cross-functional teams in a dynamic, fast-paced environment.
- Professional growth opportunities, including mentorship, training, and certifications.
- Contribution to enterprise-scale analytics and AI initiatives with lasting business impact.
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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