Solutions Architect

🕒 February 26

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SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🤖 Artificial Intelligence

🏢 Enterprise

B2B • Artificial Intelligence • Enterprise

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. • Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data for AI, ML, and business intelligence initiatives. • Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. • Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. • Architect data solutions, incorporating best practices in data governance, security, and quality. • Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Lead internal teams, provide direction and mentorship to project teams, educating end users on data products and analytic environments. • Perform system analysis, assess and resolve data and system defects, applying appropriate corrections. • Test data movement, transformation code, and data components to ensure accuracy and reliability.

🎯 Requirements

• 7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer designing and implementing data solutions with a focus on Databricks. • Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, and data science/machine learning technologies (e.g., pandas, scikit-learn). • In-depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration) using modern data engineering techniques. • Ability to lead complex architecture requirements(discovery), solution design sessions and implement architecture blueprints. • Proficiency in Java, Python, and/or Scala. • Experience with cloud platforms: AWS, Azure, and/or GCP. • Ability to write, debug, and optimize SQL queries. • Strong written and verbal communication skills with experience in client-facing roles. • Ability to create and deliver detailed presentations to clients and stakeholders. • Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies. • Experience leading teams and mentoring other engineers. • Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.

🏖️ Benefits

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI. • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making. • Career Growth: Opportunities for professional development and career advancement. • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.