Databricks Senior Solutions Architect

Role Description

As a Senior Solutions Architect, you will play a pivotal role in shaping the future of big data for top Fortune 500 companies. This senior customer-facing position requires extensive expertise in Apache Spark and a broad range of experience in big data solution architecture.

• Assist customers with architecture, design, and implementation, ensuring their technical roadmap aligns strategically with the expansion of the Databricks platform.
• Continuously enhance your technical skills through mentorship, ongoing learning, and internal training programs.
• This is a remote role (with possible rare exceptions) and requires significant time zone overlap with clients.

Main Tasks

• Provide technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment.
• Identify and drive new initiatives that help customers turn their data into actionable business value, aligning these initiatives with their business goals for continued success.
• Architect production-level workloads, including performance testing and optimization of end-to-end pipeline loads.
• Deliver tutorials and training sessions to promote community adoption (including hackathons, conference presentations, etc.).

Qualifications

• Hands-on and technical expertise with Apache Spark.
• Hands-on experience with Databricks over the course of several large-scale projects.
• Databricks Certified Data Engineer Professional certification.
• Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP.
• Over 5 years of experience working as a Software Engineer or Data Engineer, including query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
• Proficiency in programming with Python, Scala, or Java.
• Experience designing and using solutions on cloud infrastructure and services, such as AWS, Azure, or GCP.
• Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins).
• Excellent communication skills and comfort in presenting to strategic stakeholders and leadership.
• Experience in customer-facing roles such as pre-sales, post-sales, technical architecture guidance, or consulting.
• Passion for learning new technologies and ensuring customer success.
• Desired experience in Data Science/ML Engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow.

Benefits

• Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.
• Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits.
• Flexible ways of working - We respect our people to do their work when and how they work best.
• Balanced life - We highly value fresh minds, for which we think a healthy work/life balance is essential!
• Mentoring from your first day - Continuous support is not just a set of fancy words; your mentor follows you throughout your career path.
• Learning & Development opportunities - We look forward to helping you unlock your potential.
• Supportive corporate culture - We are proud of the social cohesion that is based on comradery, mutual support, and respect.