Resident Solution Architect

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 six- As

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 Databricks-

inspired open-source projects (Spark, Delta Lake, MLflow) acrothe ss 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 Researh).

Relevant certifications (e.g., Databricks certifications, AWS/Azure/GCP

AI/ML certificatins) 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.