Resident Solution Architect Data Platform

Job description

<p><p><b>Description:</b><br/><br/>About Koantek :<br/><br/>- Koantek is a Databricks Pure-Play Elite Partner, helping enterprises modernize faster and unlock the full power of Data and AI.<br/><br/>- Backed by Databricks Ventures and honored as a sixAs time Databricks Partner of the Year, we enable global enterprises to modernize at speed, operationalize AI, and realize the full value of their data.<br/><br/>- Our deep expertise spans industries such as healthcare, financial services, retail, and SaaS, delivering end-to-end solutions from rapid prototyping to production-scale AI deployments.<br/><br/>- We deliver tailored solutions that enable businesses to leverage data for growth and innovation.<br/><br/>- Our team of experts utilizes deep industry knowledge combined with cutting-edge technologies, tools, and methodologies to drive impactful results.<br/><br/>- By partnering with clients across a diverse range of industries, from emerging startups to established enterprises we help them uncover new opportunities and achieve a competitive advantage in the digital age.<br/><br/><b><br/>About the Role :<br/></b><br/><br/>- As a Solutions Architect at Koantek, you will collaborate with customers to design scalable data architectures utilizing Databricks technology and services.<br/><br/>- 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.<br/><br/>- Leveraging your technical expertise and business acumen, you will navigate complex technology discussions, showcasing the value of the Databricks platform throughout the sales process.<br/><br/>- 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.<br/><br/>- 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.<br/><br/><b><br/>The impact you will have :<br/></b><br/><br/><b>Develop Account Strategies :</b></p><p><p><b> </b></p><p><br/>- Work with Sales and other essential partners to develop strategies for your assigned accounts to grow their usage of Databricks platform.</p><p><br/><b>Establish Architecture Standards : </b></p><br/></p><p><br/></p><p>- Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent.

Technical account planning.<br/><br/><b>Demonstrate Value : </b></p><p><br/></p><p>- Build and present reference architectures and demos applications to help prospects understand how Databricks can be used to achieve their goals and land new use cases.<br/><br/><b>Capture Technical Wins :</b></p><p><p><b><br/></b></p><br/>- Consult on big data architectures, data engineering pipelines, and data science/machine learning projects to prove out Databricks technology for strategic customer projects.<br/><br/>- Validate integrations with cloud services and other third-party applications.<br/><br/><b>Promote Open-Source Projects :</b><br/><br/>- Become an expert in and promote Databricksinspired open-source projects (Spark, Delta Lake, MLflow) across developer communities through meetups, conferences, and webinars.<br/><br/><b>Technical Expertise :</b><br/><br/>- Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.<br/><br/>- Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.<br/><br/>- Projects delivered with hands-on experience in development on databricks.<br/><br/>- Expert-level knowledge of data frameworks, data lakes and open-source projects such as Apache Spark, MLflow, and Delta Lake.<br/><br/>- Expert-level hands-on coding experience in Spark/Scala, Python or PySpark In-depth understanding of Spark Architecture, including Spark Core, Spark SQL, and 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.<br/><br/>- Experience with private and public cloud architectures, pros/cons, and migration considerations.<br/><br/>- Extensive hands-on experience implementing data migration and data processing using AWS/Azure/GCP services.<br/><br/>- Familiarity with CI/CD for production deployments Familiarity with optimization for performance and scalability.<br/><br/>- Completed data engineering professional certification and required classes SQL Proficiency: Fluent in SQL and database technology.<br/><br/><b>Educational Background :</b></p><p><br/><br/>- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).<br/><br/>- Relevant certifications (e.g., Databricks certifications, AWS/Azure/GCP AI/ML certifications) are a plus.<br/><br/><b>Workplace Flexibility :</b></p><p><br/><br/>- This is a hybrid role with remote flexibility.<br/><br/>- On-site presence at customer locations MAY be required based on project and business needs.<br/><br/>- Candidates should be willing and able to travel for short or medium-term assignments when necessary.<br/><br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations