Resident Solutions Architect (RSA) at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Resident Solutions Architect (RSA) in the United States.

This role offers the opportunity to lead the design and implementation of advanced cloud-native architectures supporting large-scale data and AI initiatives. The Resident Solutions Architect will create secure, scalable, and innovative solutions while collaborating closely with engineering, data science, and business stakeholders. You will drive architecture strategy, enforce best practices, and mentor teams to deliver high-impact solutions across modern data platforms. This position provides exposure to cutting-edge technologies, hands-on technical work, and the chance to influence enterprise-level decision-making. Ideal candidates thrive in dynamic, mission-driven environments and enjoy solving complex challenges while advancing their careers.

• Design and implement end-to-end architectures on Databricks, Spark, and Delta Lake to support large-scale ingestion, ELT, and advanced analytics.
• Architect medallion (Bronze, Silver, Gold) data lakehouse patterns with both batch and real-time pipelines.
• Enable ML/AI capabilities using MLflow, TensorFlow, PyTorch, and other libraries within collaborative workspaces.
• Define and enforce security standards including RBAC, SCIM, SAML, SSO, and secrets management.
• Ensure compliance with security requirements while deploying in customer-controlled VPCs.
• Integrate BI tools such as Tableau and Power BI, ensuring interoperability across ecosystems.
• Provide technical leadership, documentation, and mentorship to engineering and data science teams.
• Collaborate with stakeholders to translate requirements into scalable, secure, and maintainable solutions.

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 8+ years of experience in solutions architecture, data engineering, or similar roles.
• Strong expertise in Databricks, Apache Spark, and Delta Lake.
• Proven experience designing secure, cloud-native architectures in AWS, Azure, or GCP environments.
• Hands-on experience with SQL, Python, R, or Scala in data analytics contexts.
• Deep understanding of ACID transactions, data versioning, and point-in-time querying.
• Practical experience with AI/ML model development, deployment, or integration.
• Familiarity with data governance, security controls, and RBAC using Unity Catalog.
• Excellent communication skills and ability to engage both technical and business stakeholders.
• Preferred: Experience supporting large-scale federal or healthcare data platforms, ML/AI tools (MLflow, TensorFlow, PyTorch, XGBoost), CI/CD pipelines, GitHub integration, BI tools, and relevant cloud/Databricks certifications.

• Competitive salary ranging from $180,730 to $200,500, with consideration for experience, skills, and location.
• Comprehensive medical, dental, vision, and life insurance.
• Short- and long-term disability coverage.
• Paid time off, holidays, and military leave.
• Retirement plan with 401K match.
• Tuition reimbursement and professional development opportunities.
• Remote working options and flexible schedules.
• Employee assistance programs and wellness support.