Solutions Architect

About the Role : As a Solutions Architect at Koantek, you will collaborate with customers to design scalable data architectures utilizing Databricks technology and services. The RSA at Koantek builds secure, highly scalable big data solutions to achieve tangible, data-driven outcomes all the while keeping simplicity and operational effectiveness in mind. Leveraging your technical expertise and business acumen, you will navigate complex technology discussions, showcasing the value of the Databricks platform throughout the sales process. Working alongside Account Executives, you will engage with customers technical leaders, including architects, engineers, and operations teams, aiming to become a trusted advisor who delivers concrete outcomes. This role collaborates with teammates, product teams, and cross-functional project teams to lead the adoption and integration of the Databricks Platform into the enterprise ecosystem and AWS/Azure/GCP architecture.

The impact you will have:

• Develop Account Strategies: Work with Sales and other essential partners to develop strategies for your assigned accounts to grow their usage of the Databricks platform.
• Establish Architecture Standards: Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• Demonstrate Value: Build and present reference architectures and demo applications to help prospects understand how Databricks can be used to achieve their goals and land new use cases.
• Capture Technical Wins: Consult on big data architectures, data engineering pipelines, and data science/machine learning projects to prove out Databricks technology for strategic customer projects. Validate integrations with cloud services and other third-party applications.
• Promote Open-Source Projects: Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across developer communities through meetups, conferences, and webinars.

Requirements Technical Expertise:

• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Projects delivered with hands-on experience in development on databricks
• Expert-level knowledge of data frameworks, data lakes and open-source projects such as Apache Spark, MLflow, and Delta Lake
• Expert-level hands-on coding experience in Spark/Scala, Python or Pyspark
• In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLibT/event-driven/microservices in the cloud
• Deep experience with distributed computing with spark with knowledge of spark runtime
• Experience with private and public cloud architectures, pros/cons, and migration considerations.
• Extensive hands-on experience implementing data migration and data processing using AWS/Azure/GCP services
• Familiarity with CI/CD for production deployments
• Familiarity with optimization for performance and scalability
• Completed data engineering professional certification and required classes
• SQL Proficiency: Fluent in SQL and database technology

Educational Background

• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research.
• Relevant certifications (e.g., Databricks certifications, AWS/Azure/GCP AI/ML certifications) are a plus.

Workplace Flexibility

• On-site presence at customer locations MAY be required based on the project and business needs. Candidates should be willing and able to travel for short or medium-term assignments when necessary.