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Resident Solution Architect - Data Platform

Resident Solution Architect - Data Platform

KOANTEK INFORMATION SYSTEMS INDIA PRIVATE LIMITEDHyderabad
4 days ago
Job description

Description : About Koantek :

  • Koantek is a Databricks Pure-Play Elite Partner, helping enterprises modernize faster and unlock the full power of Data and AI.
  • 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.
  • 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.
  • We deliver tailored solutions that enable businesses to leverage data for growth and innovation.
  • Our team of experts utilizes deep industry knowledge combined with cutting-edge technologies, tools, and methodologies to drive impactful results.
  • 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.

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 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 demos 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 Databricksinspired open-source projects (Spark, Delta Lake, MLflow) across developer communities through meetups, conferences, and webinars.
  • 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, 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.
  • 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 :

  • This is a hybrid role with remote flexibility.
  • On-site presence at customer locations MAY be required based on project and business needs.
  • Candidates should be willing and able to travel for short or medium-term assignments when necessary.
  • (ref : hirist.tech)

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