Resident Solution Architect (Databricks)

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• 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.