Our client is a leading Data consultancy and Databricks consulting partner in Europe with over 200 staff. With over two decades of experience in the Data & Analytics field, they focus on serving clients in Europe and North America.

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As a Senior Solutions Architect, you will playa 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.

Each week, you will assist customers with architecture, design, and implementation, ensuring their technical roadmap aligns strategically with the expansion of the Databricks platform. As a member of the architect team, you will continuously enhance your technical skills through mentorship, ongoing learning, and internal training programs. This is a remote role (with possible rare exceptions to be agreed upon in due time) and requires the applicant to have a significant time zone overlap with the clients.

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Responsibilities:

• 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.).

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Requirements:

• 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.

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