Resident Solution Architect
1 week ago
Responsibilities:
- Platform Expertise
: - Act as a trusted advisor by leveraging in-depth knowledge of the Databricks Platform to guide NextGen customers (domain teams) on data and analytics implementations
- Design and validate well-architected solutions and plans for production-grade implementations based on NextGen best practices.
- Discover new use case patterns that are emerging within various Domains and convert them to technical capability requirements and incorporate it back in the NextGen platform.
- Development & Production Deployment
: - Implement and operationalize data pipelines using Delta Live Tables (DLT) while ensuring production readiness.
- Develop and sustain Continuous Integration/Continuous Deployment (CI/CD) pipelines for effective code promotion and release management.
- Ensure alignment of implemented solutions with NextGen best practices.
- Workflows & Serverless
: - Design and manage data and analytics workflows using Databricks Workflows
- Advise on serverless architecture planning and implementation to promote scalability and cost efficiency
- Programming and Solution Design
: - Develop solutions using Python and SQL, ensuring scalability, reliability, and robustness.
- Provide architectural and design oversight for efficient data pipelines, workflows, and data quality practices.
- Customer Leadership and Advisory
: - Serve as an escalation point for technical challenges while ensuring timely resolution.
- Collaborate with cross-functional teams (e.g., Platform Engineering, Domain Teams, Platform Architecture) to define and achieve customer success goals.
- Coach and upskill Domain teams on Databricks capabilities and best practices
- Documentation and Communication
: - Create and present technical stories, architecture designs, and technical documentation
Requirements:
- Strong hands-on experience with the Databricks platform.
- Strong expertise in using Delta Live Tables (DLT) for building and managing data pipelines.
- Proven track record of operationalizing code through CI/CD pipelines in data engineering contexts.
- Proficiency in Python and SQL programming
- Familiarity with Databricks Workflows and/or serverless implementations
- Demonstrated experience in data solution architecture with scalable and maintainable designs.
Additional Qualifications:
- Experience working with stakeholders to understand business requirements, deduct business needs from existing technical implementation and deliver solutions tailored to business needs
- Excellent problem-solving skills and the ability to adapt to various domain team environments quickly.
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