Databricks Consulting Services

Accelerate Your AI & Data Transformation with Cyntexa's Databricks Consultants

From strategy and architecture to implementation and optimization, we help you get the full value of Databricks, building scalable data platforms, unlocking faster AI innovation, and turning your data into decisions that move forward.

Databricks Brickbuilder Bronze
50+ Databricks Certified Data
Engineers
End-to-End Databricks Solutions End-to-End Databricks Solutions
4.9/5 CSAT Score

Talk to a Databricks Consultant

Powering Data-Driven Innovation for Leading Organizations

Helping organizations modernize data platforms, unify analytics, and build AI-ready foundations

Databricks Products We Specialize In

Our certified Databricks consultants specialize in the core modules of the Databricks Data Intelligence Platform, powering modern data engineering, analytics, governance, and AI workloads.

01 Unity Catalog

01

Unity Catalog

Unified governance for data, models, and agents

Brings data, AI models, and agents under a single governed layer, so you don't have to manage separate permissions in every tool.

We implement and configure Unity Catalog to centralize data governance, manage access controls, maintain data lineage, and simplify compliance across your Databricks environment.

02 Databricks SQL

02

Databricks SQL

Serverless SQL analytics built for scale

Lets your analysts run fast, serverless queries and build dashboards without waiting on data engineering, powered by the Photon engine underneath.

We set up and optimize Databricks SQL to help you replace legacy warehouses and BI tools with a faster, more scalable analytics layer.

03 Delta Lake

03

Delta Lake

Reliable, open storage for the Lakehouse

Delta Lake combines the flexibility of a data lake with the reliability and performance expected from a modern data warehouse.

We help you design data architectures that improve data quality, support large-scale analytics, and provide a dependable foundation for AI workloads.

04 Lakeflow

04

Lakeflow

Automated pipelines for trusted data movement

Handles ingestion, transformation, and orchestration in one place, so data moves from source systems into the Lakehouse automatically and reliably.

We build and manage Lakeflow pipelines to replace fragile custom scripts with automated, trustworthy data movement your team can rely on.

05 Mosaic AI and MLflow

05

Mosaic AI and MLflow

Build, test, and track AI models

Gives your team one place to build, test, and track machine learning models, then move the best ones into real use.

We help you build, deploy, and manage these models and AI applications on Databricks, so your AI work moves from testing into everyday business use instead of staying stuck in experiments.

06 Genie One

06

Genie One

Natural language answers for business teams

Business users should not have to depend on technical teams for every data question.

We help organizations implement Databricks Genie One, an AI-powered assistant that lets users query governed enterprise data using natural language and access insights without writing SQL.

07 Lakehouse

07

Lakehouse

Postgres-compatible database inside the Lakehouse

A Postgres-compatible database that runs in Databricks, so the operational data behind your apps and AI agents lives on the same governed platform as your analytics, with no reverse ETL pipeline required.

We help you adopt Lakebase to power transactional workloads and AI agents without duplicating data outside your Lakehouse.

08 Databricks Apps

08

Databricks Apps

Custom, governed apps built on trusted data

Lets you build governed applications directly on your Lakehouse data, so the tools your teams use daily work from one trusted source.

We design and build custom applications on Databricks Apps, turning your data platform into something teams can act on.

01

Unity Catalog

Unified governance for data, models, and agents

Brings data, AI models, and agents under a single governed layer, so you don't have to manage separate permissions in every tool.

We implement and configure Unity Catalog to centralize data governance, manage access controls, maintain data lineage, and simplify compliance across your Databricks environment.

02

Databricks SQL

Serverless SQL analytics built for scale

Lets your analysts run fast, serverless queries and build dashboards without waiting on data engineering, powered by the Photon engine underneath.

We set up and optimize Databricks SQL to help you replace legacy warehouses and BI tools with a faster, more scalable analytics layer.

03

Delta Lake

Reliable, open storage for the Lakehouse

Delta Lake combines the flexibility of a data lake with the reliability and performance expected from a modern data warehouse.

We help you design data architectures that improve data quality, support large-scale analytics, and provide a dependable foundation for AI workloads.

04

Lakeflow

Automated pipelines for trusted data movement

Handles ingestion, transformation, and orchestration in one place, so data moves from source systems into the Lakehouse automatically and reliably.

We build and manage Lakeflow pipelines to replace fragile custom scripts with automated, trustworthy data movement your team can rely on.

05

Mosaic AI and MLflow

Build, test, and track AI models

Gives your team one place to build, test, and track machine learning models, then move the best ones into real use.

We help you build, deploy, and manage these models and AI applications on Databricks, so your AI work moves from testing into everyday business use instead of staying stuck in experiments.

06

Genie One

Natural language answers for business teams

Business users should not have to depend on technical teams for every data question.

We help organizations implement Databricks Genie One, an AI-powered assistant that lets users query governed enterprise data using natural language and access insights without writing SQL.

07

Lakehouse

Postgres-compatible database inside the Lakehouse

A Postgres-compatible database that runs in Databricks, so the operational data behind your apps and AI agents lives on the same governed platform as your analytics, with no reverse ETL pipeline required.

We help you adopt Lakebase to power transactional workloads and AI agents without duplicating data outside your Lakehouse.

08

Databricks Apps

Custom, governed apps built on trusted data

Lets you build governed applications directly on your Lakehouse data, so the tools your teams use daily work from one trusted source.

We design and build custom applications on Databricks Apps, turning your data platform into something teams can act on.

Solutions for End-to-End Databricks Cycle

Accelerate your data & AI initiatives with our end-to-end Databricks consulting services that transform complex data challenges into business opportunities.

Databricks Strategy & Consulting

Align your Databricks adoption with your business goals. We assess your data landscape, identify high-impact opportunities, and create a practical roadmap that reduces implementation risks and maximizes long-term value.

Lakehouse Architecture & Implementation

Your data platform should be built around the way your business operates. We design unified architectures that bring together data, analytics, and AI while ensuring governance, flexibility, and future scalability.

Data Engineering & Pipeline Development

We build reliable, high-performance data pipelines that automate data ingestion, transformation, validation, and orchestration. This ensures your teams have trusted, analytics-ready data to power reporting, AI, and smarter business decisions.

Data Migration & Modernization

Modernize legacy data platforms with a structured Databricks migration approach. We ensure secure data migration through a phased approach with minimal business disruption, enabling a smooth transition to a scalable, modern data foundation.

AI/ML & GenAI Solutions

The value of AI depends on the quality and governance of the data behind it. We build, deploy, and optimize machine learning models and generative AI applications that deliver measurable value across your organization.

Data & AI Use Case Development

Many organizations know they want to invest in AI but are unsure where to begin. We work with your teams to prioritize high-value use cases and develop solutions that solve real business challenges and deliver measurable results.

Governance, Security & Optimization

Keep your Databricks environment secure, governed, and cost-efficient as it grows. We strengthen governance, optimize platform performance, and manage compute costs to maximize the value of your investment.

Deploy Databricks on Your Preferred Cloud

As a consulting partner across AWS, Microsoft Azure & Google Cloud, we help you implement, migrate, and optimize Databricks within your existing cloud ecosystem.

AWS Logo AWS Logo

Databricks on AWS

Databricks on AWS
Azure Logo Azure Logo

Azure Databricks

Azure Databricks
Google Cloud Logo Google Cloud Logo

Databricks on
Google Cloud

Databricks on Google Cloud

Our Databricks Consulting Approach

Our approach is designed to meet you where you are, delivering a structured engagement that minimizes risk, accelerates adoption, and keeps every phase aligned with your business goals.

01

Discovery & Assessment

We begin by understanding your current data ecosystem, technology stack, business priorities, and operational challenges. This helps us identify where Databricks can create the most value, uncover potential risks early, and define a clear direction for the engagement.

02

Architecture & Design

With a clear strategy in place, we design solutions that align with your data volumes, workload requirements, security standards, and governance policies. The result is an architecture built to support both your current needs and future growth.

03

Build & Migration

Our team develops the required data pipelines, configures the platform, and migrates your data using a structured rollout plan. We plan every step to maintain data integrity, reduce disruption, and keep critical business operations running smoothly.

04

Deploy & Test

Before production rollout, we thoroughly validate the environment using your current workloads and business scenarios. This ensures data accuracy, platform performance, security, and reliability, giving your teams confidence from day one.

05

AI Enablement

We help you operationalize AI by developing machine learning models and generative AI applications that use your governed enterprise data. This allows your organization to move from collecting data to generating measurable business value.

06

Optimization & Support

After deployment, we continuously monitor platform performance, optimize resource utilization, strengthen governance, and recommend improvements as your data volumes, users, and AI initiatives continue to grow.

Engagement Models We Offer

Build in-house Team or Leverage Cyntexa's Databricks Consultants

Building in-house Databricks practice takes time, resources, and a lot of trial and error. Compare how partnering with Cyntexa accelerates implementation, reduces risk, and helps you achieve outcomes faster.

FactorIn-House TeamCyntexa's Databricks Consulting
Time to first production pipeline5-6 months, spent on hiring, onboarding, and getting the architecture right the first time6-8 weeks, using frameworks we've already built and tested across other engagements
Lakehouse migration4-5 months of planning, migration, and validation before anything is trusted in production4-8 weeks, migrated with a structured playbook that avoids the usual trial and error
Unity Catalog & governance2-4 months to design governance policy and access controls from a blank slate3-6 weeks, applying governance patterns already refined across prior Databricks engagements
Hiring and ramp-up3-5 months to recruit, hire, and get a new team fully productive on the platformCertified Databricks consultants are available from week one
Data Pipelines & ETL2-5 months building and testing pipelines with limited reusable components4-6 weeks, deployed from pre-built pipeline templates and proven patterns
AI & ML enablement3-6 months, slowed by team ramp-up and infrastructure setup6-8 weeks, built on established MLOps and model-serving frameworks
Performance & cost optimizationIdentified only after deployment, once inefficiencies or overruns surfaceBuilt into the architecture from day one
Total cost of ownershipHigher, as it includes salaries, resource costs, and the cost of early-stage mistakesLower, with cost visibility built in from the start
Ongoing supportReactive troubleshooting, support kicks in only after something breaksProactive optimization, expert guidance, and training. Issues caught before they impact operations
Implementation riskHigher, with limited in-house experience increasing the chance of costly mistakesLower, backed by proven frameworks and hands-on delivery experience
Time to Business Value9-18 months before the platform delivers measurable results3-6 months to measurable outcomes

Factor

Time to first production pipeline

In-House Team

5-6 months, spent on hiring, onboarding, and getting the architecture right the first time

Cyntexa's Databricks Consulting

6-8 weeks, using frameworks we've already built and tested across other engagements

Factor

Lakehouse migration

In-House Team

4-5 months of planning, migration, and validation before anything is trusted in production

Cyntexa's Databricks Consulting

4-8 weeks, migrated with a structured playbook that avoids the usual trial and error

Factor

Unity Catalog & governance

In-House Team

2-4 months to design governance policy and access controls from a blank slate

Cyntexa's Databricks Consulting

3-6 weeks, applying governance patterns already refined across prior Databricks engagements

Factor

Hiring and ramp-up

In-House Team

3-5 months to recruit, hire, and get a new team fully productive on the platform

Cyntexa's Databricks Consulting

Certified Databricks consultants are available from week one

Factor

Data Pipelines & ETL

In-House Team

2-5 months building and testing pipelines with limited reusable components

Cyntexa's Databricks Consulting

4-6 weeks, deployed from pre-built pipeline templates and proven patterns

Factor

AI & ML enablement

In-House Team

3-6 months, slowed by team ramp-up and infrastructure setup

Cyntexa's Databricks Consulting

6-8 weeks, built on established MLOps and model-serving frameworks

Factor

Performance & cost optimization

In-House Team

Identified only after deployment, once inefficiencies or overruns surface

Cyntexa's Databricks Consulting

Built into the architecture from day one

Factor

Total cost of ownership

In-House Team

Higher, as it includes salaries, resource costs, and the cost of early-stage mistakes

Cyntexa's Databricks Consulting

Lower, with cost visibility built in from the start

Factor

Ongoing support

In-House Team

Reactive troubleshooting, support kicks in only after something breaks

Cyntexa's Databricks Consulting

Proactive optimization, expert guidance, and training. Issues caught before they impact operations

Factor

Implementation risk

In-House Team

Higher, with limited in-house experience increasing the chance of costly mistakes

Cyntexa's Databricks Consulting

Lower, backed by proven frameworks and hands-on delivery experience

Factor

Time to Business Value

In-House Team

9-18 months before the platform delivers measurable results

Cyntexa's Databricks Consulting

3-6 months to measurable outcomes

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Accelerate Your Data & AI Journey with Databricks Consulting

Why Cyntexa for Databricks Consulting

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Data Engineers
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Certified Databricks Consultants

Delivering expertise across data engineering, analytics, AI, and the Lakehouse Platform.

Tailored Data & AI Solutions

Designed around your business goals, data ecosystem, and growth plans.

End-to-End Support

From strategy and implementation to optimization, training, and managed services.

Industry-Specific Expertise

Serving organizations across 14+ industries with proven implementation experience.

Flexible team scaling

To quickly scale up or downsize team based on project requirements.

Business-first Consulting Approach

Focused on understanding your challenges before recommending solutions.

Enterprise-grade Security & Data Privacy

Following industry best practices with every engagement.

NDA & SLA-backed Engagements

Ensuring confidentiality, accountability, and peace of mind.

Industries We Serve

Discover the industries we transform with our solutions for value and growth.

Financial Services
Insurance
Retail & Consumer Goods
Media & Communications
Technology
Professional Services
Energy & Utilities
E-commerce
Manufacturing
Healthcare & Life Sciences
Logistics & Transportation
Non Profit
Real Estate
Education

Financial Services

Secure your confidential customer data through technological advancements in financial services. Streamline operations, enhance security, and personalize experiences with our digital transformation expertise.

Insurance

Insurance companies are expanding grounds of success by leveraging data and technology to create seamless customer experiences in the evolving insurance sector. Experience it all with us.

Retail & Consumer Goods

The retail & consumer goods market has shifted. We help you navigate the "new normal" with data-driven strategies and personalized experiences with our customized digital transformation solutions.

Media & Communication

Today's Customers are way past the old conservative solutions, especially in the Media & Communication industry and crave immersive experiences. Embrace the flexibility, customization and high customer engagement with us.

Technology

The technology world is racing forward, leaving stagnant companies behind. We bridge the gap for you with digital transformation readiness and crafting strategies so you dominate in the evolving market.

Professional Services

We help you thrive in today's evolving landscape. From conquering remote work challenges to personalizing client experiences, we craft tech solutions to empower your teams and exceed client expectations. Let's unlock your growth potential!

Energy & Utilities

Transformation is the new normal in the energy & utility sector. That's why we offer the power of digitalization to guide you towards a more efficient, secure, and sustainable future.

E-commerce

The E-commerce world demands selling faster and smarter. Our cutting-edge strategies combine user-centric design, data-driven personalization, and cloud scalability. Don't just survive – dominate.

Manufacturing

Efficiency and cost control are the high-demand variables in the Manufacturing sector. Cloud technology lets you connect production, sales, and planning like never before, unlocking new growth opportunities.

Healthcare & Life Sciences

Improved Care Strategies, Refined Patient Experiences, secure storage & access to patient information are what the Healthcare industry asks for. And we will definitely deliver this and more.

Logistics & Transportation

Struggling with complex supply chains and fragmented communication? Our cloud-based solutions streamline your entire logistics operation, boosting efficiency and visibility. Simplify your logistics and elevate your customer experience.

Non Profit

Disparate systems and data overload can hinder your non-profit motive. We help non-profits leverage data analytics to track progress and maximize impact. See where resources deliver the most good.

Real Estate

Even the Real Estate market requires a tech upgrade. Seamless cloud-based solutions connecting stakeholders & modernized operations leading to more productivity and a profitable future is what you need (& we have expertise in that).

Education

Learners crave personalized, engaging experiences tailored to their needs. We create flexible, interesting learning ecosystems, bridging the gap with digital transformation solutions for education.

Know More

Hear it from our Clients

Read what our satisfied clients have to say about their experience.

Kristin Harris

Kristin Harris

Project and Process Development Manager

They helped us take all of our data and integrate it successfully. They reviewed our requirements and provided quality work quickly. Will definitely work with them again.

Devin Bostick

Devin Bostick

CEO, LuckyTruck

Cyntexa is a high touch and results-oriented partner that hit our timeline, budget, and delivery objectives. Additionally, they were high touched and genuinely cared about the quality of our work. I would use them again.

Manoj Pooleery

Cofounder & CTO, SiteRx Inc

Overall, a very positive experience. The team was very responsive, organized and up to task. We had engaged them when we had a very tight deadline and they were able to help us meet it.

Vilen Bezhanyan

Vilen Bezhanyan

PCEO, Brainstorm Technologies

We had a great experience working with the team who performed their best to finish the project successfully. We highly recommend others to work with them, knowing that their projects will be in good hands.

John Crighton

John Crighton

CTO, Lightning Step Technologies, LLC

Cyntexa was able to successfully develop and integrate an improved and efficient dashboard, much to the benefit of external stakeholders. The team was able to maintain positive communications throughout.

Sahil Gambhir

Sahil Gambhir

Head of Special Projects, Wirelane GmbH

The company has developed a strong team and robust infrastructure to serve its clients. They use best industry practices to track the progress of the project & doesn’t shy away from going the extra mile to make clients happy.

Frequently Asked Questions

Our Databricks consulting services cover every stage of your data modernization journey, from data strategy to ongoing optimization. We help organizations define a Databricks adoption strategy, design and implement Lakehouse architectures, build data pipelines, migrate from legacy systems, and establish governance, security, and cost optimization practices. Whether you are starting from scratch or need to optimize an existing deployment, our Databricks consultants help you maximize the value of your Databricks investment.

Databricks consulting is valuable for organizations that manage increasing volumes of data across multiple systems or want to accelerate analytics and AI initiatives. Businesses using separate data warehouses, data lakes, business intelligence (BI) tools, and machine learning platforms often benefit from consolidating these workloads on Databricks. It is especially useful for enterprises looking to modernize legacy data infrastructure, improve data governance, enable real-time analytics, or build AI applications on trusted enterprise data.

The implementation timeline depends on factors such as the size of your data environment, migration complexity, integration requirements, and project scope. Smaller implementations can often be completed within a few weeks, while enterprise-wide modernization may take several months. During the discovery phase, our Databricks consultants assess your requirements and provide a realistic implementation roadmap with clearly defined milestones and delivery timelines.

Yes. We help organizations migrate from legacy data warehouses, traditional data lakes, and analytics platforms to Databricks. Our migration approach includes assessment, planning, data validation, pipeline modernization, and phased deployment to minimize business disruption. Throughout the process, we prioritize data integrity, application continuity, and performance so your teams can continue working with confidence during the transition.

Yes. Databricks is designed to integrate with a wide range of enterprise data sources, business applications, and cloud platforms. Whether you use AWS, Microsoft Azure, or Google Cloud, we help configure Databricks within your existing environment while connecting it with your databases, data warehouses, storage services, BI platforms, and other business systems. This allows you to modernize your data platform without replacing your entire technology ecosystem.

Yes. If you're already using Databricks, our data engineers can review your platform to identify opportunities for better performance, stronger governance, and lower operating costs. Our Databricks services include architecture reviews, workload tuning, compute cost optimization, security improvements, governance enhancements, and pipeline performance optimization. Our goal is to improve efficiency while ensuring your platform continues to support your evolving business and AI requirements.

Yes. Our engagement continues after deployment as we provide ongoing Databricks support and managed services. We continuously monitor your Databricks environment, optimize platform performance, strengthen governance, conduct security reviews, provide user support, and perform regular health checks. As your data environment grows, we help you maintain a secure, reliable, and cost-efficient platform that continues to support your analytics and AI initiatives.

The cost of a Databricks implementation depends on several factors, including your existing data environment, migration scope, integration requirements, AI or machine learning use cases, and the complexity of the solution. You can connect with our certified Databricks consultants, who can review your environment and help you plan an implementation that fits your budget, without compromising performance or governance.

Hiring a Databricks consulting partner reduces implementation risk, accelerates deployment, and ensures your platform is designed according to industry best practices. Our certified Databricks consultants bring hands-on experience across architecture, migration, governance, and AI, so you avoid the common pitfalls that slow down enterprise data projects.

Let’s Get In Touch

Our expert consultants will reach out within 24 hours.

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