Resident Solution Architect (Databricks)

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.

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