Solution Architect

Summary

Join us as a Solution Architect for Databricks and collaborate with Enterprise Account Executives to define and implement technical visions for strategic accounts. Expand Databricks platform adoption and deepen ML/AI solution integration within customer ecosystems. This role blends technical expertise, strategic account management, and value-driven solutioning. You will demonstrate Databricks capabilities, develop proofs of concept, and provide expert guidance on applying ML and AI to diverse use cases. Lead data transformations, design technical strategies, and foster client relationships. Mentor junior team members and promote innovation.

Requirements

• Experience: 15+ years in technical architecture or consulting roles, with significant experience managing large, global accounts (>$1M ARR)
• Big Data Engineering: Expertise with tools and technologies like Apache Spark, Hadoop, and Kafka
• Data Warehousing & ETL: Strong knowledge of SQL, OLTP/OLAP systems, and data pipeline architectures
• Data Science & Machine Learning: Hands-on experience with tools such as pandas, scikit-learn, and techniques like hyperparameter optimization (HPO)
• Data Applications Expertise: Proficiency in building solutions for use cases like logs analysis, threat detection, real-time monitoring, and risk analysis
• Proven ability to translate complex business requirements into scalable technical solutions, driving stakeholder alignment at all levels
• Development Skills: Proficiency in languages like Python, Scala, Java, or R, with experience in debugging and software development
• Cloud Expertise: Demonstrated experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
• Education: Bachelor’s or master’s degree in computer science, Applied Mathematics, Operations Research, or a related field

Responsibilities

• Act as the primary technical advisor for large, strategic client accounts, guiding their adoption of Databricks solutions
• Lead customers through their data transformation journey, helping evaluate and embed Databricks into their strategic initiatives
• Design and execute account-specific technical strategies, ensuring alignment with client objectives
• Foster relationships with client stakeholders and build a network of technical champions to advocate for Databricks within the organization
• Partner with internal teams to align Databricks offerings with client needs, driving impactful outcomes
• Provide mentorship and technical guidance to peers and junior team members, promoting a culture of innovation and excellence

Preferred Qualifications

• Certification: Databricks certification is highly desirable
• Soft Skills: Strong communication, problem-solving, and client-facing skills to build trust and deliver results effectively