Cloud Data Architect (Remote from US)

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

This role offers the opportunity to design and implement scalable, secure, and high-performance data architectures in a cloud-based SaaS environment. As a Cloud Data Architect, you will bridge technical excellence with business strategy, ensuring that data solutions align with organizational goals and product requirements. You will lead the development of cloud data platforms, optimize pipelines, and establish governance and standards that enable reliable, accessible, and cost-efficient data operations. This position requires both hands-on technical skills and strategic thinking, providing visibility across engineering teams while contributing to the architecture of cutting-edge SaaS solutions. You will work in a dynamic, collaborative environment where innovation, adaptability, and continuous learning are highly valued.

• Define and enforce data architecture and engineering standards across products and teams
• Design scalable, secure, and optimized cloud data architectures that align with business goals
• Collaborate with engineering and product teams to translate requirements into high-level and detailed system designs
• Lead the development and maintenance of data pipelines, lakes, and lakehouse architectures
• Solve complex challenges related to data modeling, optimization, distribution, and storage
• Implement data governance, security, and compliance frameworks
• Provide guidance on architecture decisions, risk assessments, and best practices for cloud and big data technologies
• Deliver solutions incrementally, incorporating feedback from stakeholders and adapting to evolving technical and business needs

• 7–10+ years of experience in data engineering, architecture, or related roles with cloud and big data technologies
• Advanced proficiency in SQL for analytics and query optimization (Azure Synapse, Oracle, Snowflake, etc.)
• Hands-on experience with data lakes (e.g., Azure Data Lake Storage, Delta Lake) and lakehouse architectures
• Expertise with Databricks and/or Apache Spark (PySpark, Spark SQL) for distributed data processing
• Strong Python skills for scripting, automation, and pipeline development
• Familiarity with cloud platforms (Azure, OCI) and orchestration tools such as Azure Data Factory, Databricks, or Apache Airflow
• Experience designing scalable architectures, optimizing pipelines, and implementing security and governance frameworks
• Relevant certifications preferred (e.g., Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Associate Developer, CDMP)
• Strong analytical, problem-solving, and communication skills; ability to work cross-functionally and influence technical direction

• Competitive salary with performance-based incentives
• Flexible remote and hybrid work options
• Comprehensive medical, dental, and vision coverage
• Retirement savings plan (e.g., 401k) with company match
• Professional development and certification opportunities
• Paid time off and holidays
• Employee wellness programs and supportive workplace 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.

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