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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.
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Assist customers with architecture, design, and implementation, ensuring their technical roadmap aligns strategically with the expansion of the Databricks platform.
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Continuously enhance your technical skills through mentorship, ongoing learning, and internal training programs.
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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.
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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.
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Architect production-level workloads, including performance testing and optimization of end-to-end pipeline loads.
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Deliver tutorials and training sessions to promote community adoption (including hackathons, conference presentations, etc.).
Qualifications
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Hands-on and technical expertise with Apache Spark.
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Hands-on experience with Databricks over the course of several large-scale projects.
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Databricks Certified Data Engineer Professional certification.
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Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP.
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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.
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Proficiency in programming with Python, Scala, or Java.
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Experience designing and using solutions on cloud infrastructure and services, such as AWS, Azure, or GCP.
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Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins).
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Excellent communication skills and comfort in presenting to strategic stakeholders and leadership.
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Experience in customer-facing roles such as pre-sales, post-sales, technical architecture guidance, or consulting.
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Passion for learning new technologies and ensuring customer success.
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Desired experience in Data Science/ML Engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow.
Requirements
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Hands-on and technical expertise with Apache Spark.
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Hands-on experience with Databricks over the course of several large-scale projects.
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Databricks Certified Data Engineer Professional certification.
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Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP.
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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.
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Proficiency in programming with Python, Scala, or Java.
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Experience designing and using solutions on cloud infrastructure and services, such as AWS, Azure, or GCP.
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Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins).
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Excellent communication skills and comfort in presenting to strategic stakeholders and leadership.
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Experience in customer-facing roles such as pre-sales, post-sales, technical architecture guidance, or consulting.
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Passion for learning new technologies and ensuring customer success.
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Desired experience in Data Science/ML Engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow.
Benefits
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Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.
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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.
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Flexible ways of working - We respect our people to do their work when and how they work best.
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Balanced life - We highly value fresh minds, for which we think a healthy work/life balance is essential!
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Mentoring from your first day - Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
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Learning & Development opportunities - We look forward to helping you unlock your potential.
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Supportive corporate culture - We are proud of the social cohesion that is based on comradery, mutual support, and respect.