Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads
Adapt the SA team's skills and engagement model to match the needs of Digital native customers
Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
Travel to customer sites for executive sessions, technical workshops, and building relationships
Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
Stay current with emerging Data and AI trends in the digital native tech sector
Showing 1 of 21 positions
About Databricks
Databricks transforms how businesses use data and AI. They pioneered the Lakehouse architecture, which combines the strengths of data warehouses and data lakes into a single, unified platform. This innovative approach helps organizations process and analyze massive datasets, accelerating data science, machine learning, and collaborative workflows. More than 10,000 organizations globally, including over 60% of the Fortune 500, rely on Databricks to manage their data and drive AI initiatives. Their platform integrates with major cloud services like Amazon and Google Cloud, providing a flexible and scalable solution for data management and analysis.
How We Work
Databricks fosters a culture of transparency, collaboration, and accountability. You'll find a direct and fast-paced environment where data-driven decisions are paramount. Leadership actively engages with employees through weekly CEO AMA sessions, promoting open communication. The company emphasizes teamwork and provides opportunities for individuals to "own it" and make a significant impact. While the pace is often aggressive, the focus remains on delivering customer value and continuously raising the bar.
Engineering at Databricks
Databricks was founded by the original creators of Apache Spark™, Delta Lake, and MLflow, shaping the foundation of modern data and AI infrastructure. Their platform tackles complex challenges in data engineering, from managing massive data volumes and real-time processing to ensuring data quality and governance. Engineers at Databricks work on building secure, scalable, and elegant solutions for multi-tenant architectures, focusing on identity, authorization, and cryptographic trust boundaries. You'll contribute to an ecosystem that simplifies the development and deployment of machine learning models, integrating with popular libraries like TensorFlow, PyTorch, and Scikit-learn.
Why Join Us
Drive innovation by contributing to a platform trusted by over 10,000 organizations, including major enterprises across diverse industries.
Shape the future of data and AI by working with cutting-edge technologies like Apache Spark™, Delta Lake, and MLflow.
Collaborate in a transparent and data-driven culture that values accountability and empowers you to make a real impact.
Join a rapidly growing company with a strong track record of success and significant investment in its workforce.
Develop your skills in a dynamic environment that addresses complex data engineering and machine learning challenges at scale.
Benefits & Perks
Comprehensive health coverage (medical, dental, vision, HSA, FSA).
Retirement benefits including a 401(k) plan.
Company equity and employee stock purchase plan.
Paid parental leave and fertility benefits.
Flexible time off policy.
Annual personal development fund.
Employee assistance program for mental health support.