Databricks Solution Architect
3 days ago
Databricks Solution Architect
Must Have Technical/Functional Skills We are looking for a highly skilled and passionate Databricks Solution Architect to design end-to-end data solutions, define architecture patterns, guide implementation teams, ensure integration with enterprise systems, and promote best practices in data engineering and machine learning workflows. Lead proof-of-concept developments and evaluate new platform features, and ensure that security and compliance standards are met
Responsibilities:
• Work closely with Data Scientists, Business Team and Engineers to understand business requirements, translating those requirements into technical architectures, and ensuring the effective integration of Databricks with other enterprise systems.
• Recommend best practices around data engineering, machine learning, and analytics workflows, as well as guiding teams in the adoption of efficient architecture patterns.
• Define project scope, set technical direction, and troubleshoot complex problems.
• Lead the development of proof-of-concept solutions, evaluate new platform features, and ensure that security and compliance standards are met.
• Plan and execute Migration strategies to transition on prem data warehouse and Datalake into cloud based Databricks
• Develop reusable frameworks for Data Engineering and Machine Learning Data Pipelines
• Explore AI and Gen AI solutions for business requirements and provide solutions to adopt them.
Qualifications:
• Proven expertise in implementing various solutions using Databricks.
• Strong PySpark, Python experience
• Familiarity with ML Ops/LLM Ops and distributed systems.
• Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
• Solid understanding of system design patterns, scalability, observability, and performance tuning.
• Strong analytical and problem-solving skills.
• Passion for exploring and building with emerging technologies
Salary Range- $100,000-$130,000 a year
#LI-CO1 #LI-SN1
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