Job Description

Mission: We are looking for accomplished professionals with a history of driving data-driven transformations in large enterprises. As a Solution Architect for Databricks, you will collaborate closely with Enterprise Account Executives (AEs) to define and implement the technical vision for our most strategic accounts. Your focus will be to expand the adoption of Databricks’ platform and deepen the integration of machine learning (ML) and artificial intelligence (AI) solutions within our customers’ ecosystems. This role demands a blend of 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 in industries like high-tech and manufacturing. Key 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. Qualifications and Experience: 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. Preferred Skills: Certification: Databricks certification is highly desirable. Soft Skills: Strong communication, problem-solving, and client-facing skills to build trust and deliver results effectively. Outcomes: Define and implement technical strategies for strategic accounts, ensuring successful deployment and adoption of Databricks solutions. Cultivate lasting relationships with client stakeholders and foster a network of internal advocates for Databricks’ platform. Deliver scalable, innovative data architectures and AI/ML solutions that address customer challenges. Mentor team members to strengthen technical capabilities and encourage collaboration across the organization. Join us to lead transformational change and help organizations unlock the full potential of their data with Databricks’ cutting-edge technology. Together, let’s build the future of data. #J-18808-Ljbffr Cloudaction

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