
Senior Solutions Architect, Databricks
Posted 1 hour ago

Posted 1 hour ago
This is a fully remote position, open to applicants in Hungary.
• In the role of Senior Solutions Architect, you will be instrumental in defining the future of big data for leading Fortune 500 companies.
• This senior role, which interacts directly with customers, demands significant expertise in Apache Spark along with a wide array of experience in big data solution architecture.
• Each week, you will collaborate with customers on architecture, design, and implementation, ensuring their technical roadmap is strategically aligned with the growth of the Databricks platform.
• As part of the architect team, you will continuously refine your technical skills through mentorship, ongoing education, and internal training initiatives.
• You will provide technical leadership following sales to assist strategic customers in designing and executing big data projects, covering everything from architectural design to data engineering and model deployment.
• Identify and drive new initiatives that enable customers to convert their data into actionable business insights, ensuring these initiatives align with their business objectives for sustained success.
• Architect production-level workloads, which include performance testing and optimization of end-to-end pipeline loads.
• Conduct tutorials and training sessions to foster community adoption (including hackathons, conference presentations, etc.).
• Practical and technical proficiency in Apache Spark.
• Hands-on experience with Databricks through multiple large-scale projects.
• Databricks Certified Data Engineer Professional certification is required.
• Demonstrated experience in designing and implementing big data technologies, such as Hadoop, NoSQL, MPP, OLTP, and OLAP.
• More than 5 years of experience as a Software Engineer or Data Engineer, with skills in query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
• Proficient in programming languages such as Python, Scala, or Java.
• Experience in designing and utilizing solutions on cloud infrastructure and services, including 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).
• Strong 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.
• A passion for learning new technologies and a commitment to ensuring customer success.
• Desired experience in Data Science/ML Engineering, which includes model selection, model lifecycle management, hyper-parameter tuning, model serving, deep learning, and using tools like MLFlow.
• Diverse projects - Each assignment presents new challenges, whether technical or business-related, that contribute to your growth.
• Empowerment - Trust is fundamental to our culture. We will support you when needed, but also allow you the freedom to push your boundaries. The ultimate goal is yours to achieve, and the journey is yours to navigate.
• Flexible working arrangements – Our location on Bartók Béla RoadStreet serves not only as an office but also as a community space. We respect your autonomy in completing your work in a manner that suits you best.
• Balanced life - We are passionate about our work and seek to collaborate with others who share that love. We highly value fresh perspectives and believe that a healthy work/life balance is crucial! Say goodbye to pointless meetings and excessive administration.
• Mentorship from day one – Continuous support is more than just a phrase here; your mentor will accompany you throughout your career journey.
• Learning & Development opportunities - If you're eager to continue learning and growing, we are committed to helping you unlock your potential.
• Supportive corporate culture - In addition to our professional achievements, we take pride in the social unity that thrives on camaraderie, mutual support, and respect, which we actively cultivate within the company.
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