Resident Solution Architect (Databricks)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Resident Solution Architect (Databricks) based in the United States.

As a Resident Solution Architect, you will lead the design and delivery of enterprise-scale data platform solutions built on the Databricks Lakehouse Platform. This hands-on role combines technical leadership with strategic consulting, helping organizations modernize their data ecosystems and maximize the value of cloud-native analytics. You will collaborate with cross-functional teams, guide implementation best practices, and provide architectural expertise across large-scale data engineering initiatives. Working in a dynamic consulting environment, you will influence technical direction, optimize platform performance, and deliver scalable solutions for complex business challenges across regulated industries.

• Lead the architecture, design, and successful delivery of enterprise Databricks Lakehouse implementations from planning through deployment.
• Provide hands-on technical leadership to engineering teams throughout complex data platform projects.
• Design scalable, high-performance data architectures using Databricks, Delta Lake, Apache Spark, and cloud-native technologies.
• Optimize distributed data processing environments by improving platform performance, scalability, and operational efficiency.
• Develop and support CI/CD pipelines that enable reliable production deployments and continuous delivery practices.
• Partner with data science teams to implement MLOps workflows and operationalize machine learning solutions.
• Collaborate with business and technical stakeholders to translate complex requirements into practical architectural strategies.
• Advise clients on platform best practices, governance, and modernization initiatives to ensure long-term success.

Requirements

• Authorization to work in the United States without current or future visa sponsorship.
• 10+ years of consulting experience, including at least 7 years focused on data engineering, analytics, or enterprise data platforms.
• Proven experience delivering multiple enterprise-scale Databricks implementation projects.
• Deep expertise with the Databricks Lakehouse Platform, including Delta Lake architecture and platform best practices.
• Advanced knowledge of Apache Spark, distributed computing, and large-scale performance optimization.
• Databricks Data Engineering Professional Certification.
• Hands-on experience with at least one major cloud platform, including AWS, Microsoft Azure, or Google Cloud Platform.
• Strong understanding of CI/CD methodologies and production deployment pipelines.
• Working knowledge of MLOps concepts, tools, and deployment practices.
• Excellent consulting, communication, stakeholder management, and problem-solving skills.
• Experience across multiple cloud platforms is considered an asset.

Benefits

• Competitive W2 contract compensation of up to $80 per hour.
• Opportunity to lead high-impact enterprise data transformation initiatives.
• Exposure to complex cloud, analytics, and data engineering projects across regulated industries.
• Collaborative consulting environment with experienced technical professionals.
• Opportunity to work with modern cloud technologies, Databricks, Apache Spark, and large-scale data platforms.
• Fully remote opportunity within the United States (subject to project requirements).
• Ongoing opportunities to expand expertise in cloud architecture, analytics, and enterprise consulting.

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!

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