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Select Partner

Databricks data and AI professional services.

Our Data and AI Studios have extensive experience working with Databricks and we are proud to be recognized with Select status in their partner program.

We've empowered numerous industry leaders to harness the full potential of Databricks' Intelligence platform, driving transformative results and measurable business impact.

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Our Experience

  • 20+

    Years of experience working with data

  • 150+

    Certified Databricks data analysts, engineers, scientists & machine learning engineers

A Databricks Select Partner

As a Select Databricks Partner, we've demonstrated our deep knowledge of the platform and a proven track record of successful implementations.

We have 150+ professionals certified on the Databricks Intelligence platform. Our people have Databricks certifications ranging from Associate Data Analyst, Data Engineer, to Professional Machine Learning Engineer and GenAI Engineers.

Databricks Partner

Our services

We provide end-to-end data services on

Databricks to build modern data

foundations and scale enterprise AI.
  • DatabEnterprise AI agents

    Enterprise AI agents

    We specialize in building enterprise-grade AI agents and copilots using the Databricks Mosaic AI framework, Agent Bricks, and Qubika’s Agentic Platform (QAP).

    We use LangChain and MLflow to orchestrate complex agent pipelines, integrating retrieval-augmented generation (RAG), external APIs, and decision-making logic.

  • Machine learning and MLOps

    Machine learning and MLOps

    We help organizations develop and deploy robust machine learning and deep learning models directly within Databricks, using tools like MLflow.

    Our MLOps approach streamlines everything from model versioning and CI/CD to drift detection and retraining. We use Mosaic AI Model Serving for real-time or batch inference and integrate pipelines using Databricks Workflows.

  • Lakehouse design

    Lakehouse design

    We architect and build high-performance lakehouse environments using Delta Lake as the foundation for unified storage and analytics.

    By incorporating Databricks Workflows for orchestration and Lakehouse Federation to connect external data sources, we build highly effective, scalable systems.

  • Data quality and governance

    Data quality and governance

    Data quality and governance is the core for successful AI and machine learning efforts. We implement data quality validation at every stage, such as using expectations in Lakeflow pipelines.

    Our approach uses Unity Catalog to centralize access control and provide end-to-end lineage visibility.

  • Databricks implementation and migration

    Databricks implementation and migration

    We support seamless migrations from both legacy systems - as well as from alternatives such as Snowflake and Redshift, to Databricks. We ensure speed, security, and minimal business disruption - leveraging in particular the Databricks SQL, repos, and Lakebridge.

    We embed governance from day one using Unity Catalog, ensuring secure access, lineage tracking, and compliance.

  • Data integration and pipeline engineering

    Data integration and pipeline engineering

    We connect Databricks to your broader enterprise stack - whether it's BI tools, data catalogs, or AI/machine learning platforms—using Partner Connect and custom connectors.

    We design and build robust data pipelines optimized for performance and reliability.

Building powerful & scalable AI agents

Whitepaper

Building powerful & scalable AI agents

This white paper introduces Qubika’s modular, production-ready architecture for building agentic AI systems using Databricks and LangGraph - designed for scalability, observability, and business impact.

The white paper also includes a case study of our work implementing AI agents for one of the world’s most prominent financial investment institutions.

Read now

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awareness with thought leadership.

About Us

What our clients say about us

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FAQs

Everything you need to know about Databricks

  • How can Qubika optimize our data operations with Databricks?
    As a Databricks partner, we provide tailored, high-performance data solutions designed to align with your business goals. Our implementations streamline data architectures, enhancing scalability and processing speed, ideal for complex big data and machine learning initiatives.
  • What advantage do we bring by integrating Databricks with AWS or other clouds?
    We handle seamless integrations with AWS, Azure, and GCP, allowing your data to scale according to specific workflows. Our multi-cloud expertise optimizes infrastructure for interoperability, reducing downtime and ensuring efficient, continuous data processing for critical analytics.
  • How do we manage Service Principals and access controls in Databricks?
    We configure and oversee Databricks Service Principals, customizing access policies to meet your organization’s security standards. By following best practices for data protection and compliance, we ensure secure and controlled access to your data resources within collaborative environments.
  • What is our approach to deploying machine learning models in Databricks?
    We first start by identifying clearly the business need and defining the use case. Once we have decided on the best approach, we then use an agile approach to machine learning deployment, from data preparation to model iteration and production. Our teams optimize Databricks pipelines for real-time, advanced projects, providing scalable and precise predictive models tailored to your needs.
  • How do we ensure best practices in data engineering with Databricks?
    We adopt Databricks-recommended methodologies for data engineering, leveraging Spark and MLflow optimizations to maintain efficient and resilient pipelines. This approach maximizes ROI on your data infrastructure while reducing overall processing costs.
  • What ongoing support do we offer as a Databricks partner?
    Our support includes proactive monitoring and real-time troubleshooting to keep your Databricks environment running smoothly. We provide continuous maintenance and optimization, adapting Databricks solutions as data volumes and performance demands increase.
  • How can we assist with preparation for key Databricks certifications?
    If you’re looking to upskill your own team in Databricks, we can offer guidance and resources for Databricks certifications, like the Databricks Associate Data Engineer. Our support includes customized training and certification preparation to help your team build essential skills and fully leverage Databricks’ capabilities.

Let’s work together

Get in touch with our experts to review your idea or product, and discuss options for the best approach

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