Databricks Architect-ADF
Zortech Solutions - Raleigh, NC
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Role: Databricks Architect-ADF Location: Raleigh, NC-Day one onsite Duration: Fulltime Job Description: Data Architect with 15+ years of experience, specializing in Databricks and Azure Data Factory (ADF) Strategic Architecture Leadership: Designing advanced data architectures using Databricks and ADF, focusing on long-term scalability, performance, and integration with complex enterprise systems. High-Level Data Strategy and Governance: Developing comprehensive data strategies that align with organizational objectives, and leading data governance initiatives focused on security, compliance, and quality. Expertise in Databricks and ADF: Utilizing deep expertise in Databricks for complex data analytics and ADF for sophisticated data integration, ensuring optimal utilization of these tools for business needs. Innovation and Technology Adoption: Driving innovation in data management and analytics, evaluating and integrating emerging technologies and methodologies within the Databricks and ADF ecosystems. Mentorship and Team Leadership: Providing mentorship and leadership to data teams, fostering a culture of continuous learning and excellence in data practices. Complex Problem Solving: Applying extensive experience to solve high-level data architecture challenges, offering innovative solutions and strategies. Senior Stakeholder Engagement: Engaging with senior management and stakeholders, effectively communicating complex data strategies and their business implications. Performance Optimization: Leading efforts to optimize the performance of Databricks and ADF deployments, ensuring they meet the advanced data needs of the organization. Knowledge Sharing and Thought Leadership: Serving as a thought leader in the field, sharing insights and best practices both internally and in the wider professional community. Advanced Technical Documentation: Producing detailed, clear technical documentation and architectural diagrams that reflect complex data architectures and processes.
Created: 2026-03-04