Databricks
Consulting Services & Support
Our Databricks consulting services help organizations design, optimize, and scale their data analytics platforms. Whether you need to build a new data lakehouse, migrate existing workloads, or improve performance, our expert consultants provide hands-on support to ensure your data environment is efficient, reliable, and future-ready.
Trusted By
Databricks Consultants Who Run It in Production
Our team of Databricks consultants brings years of experience delivering real-world data solutions. We help enterprises leverage Databricks to unify batch, streaming, and machine learning workloads - reducing costs and enabling data-driven decisions at scale.
World-Class Apache Spark Experts
As one of the most advanced Spark consulting teams globally, we specialize in building efficient, scalable systems for large datasets and complex analytical workloads. From query execution optimization to massively parallel processing, we ensure your Spark-powered platforms deliver reliable performance and scalability.
Data Architecture Design
We design modern data architectures that integrate data lakes, warehouses, and lakehouse models. Our solutions support scalability, performance, and cost-efficiency for growing business demands.
Data Ingestion, ETL and Batch Processing
Our consultants build robust ETL pipelines for large-scale data ingestion and batch processing, ensuring efficient data flow and seamless integration into your analytics ecosystem.
Machine Learning
We enable organizations to operationalize machine learning at scale on Databricks. From model training to real-time predictions, we help you leverage ML pipelines that integrate directly into your data workflows.
Spark Applications Optimization
We fine-tune Spark applications for faster query processing, lower compute costs, and improved reliability. Our optimization services cover schema design, workload distribution, and query performance.
Azure Databricks Consultants
As certified Azure Databricks experts, we help enterprises design, deploy, and manage cloud-native analytics platforms that combine flexibility with enterprise-grade security and compliance.
Data Lake, Data Warehouse, Lakehouse
Our consultants deliver solutions across the full data spectrum - whether you need a data lake for raw storage, a data warehouse for structured queries, or a unified lakehouse architecture for both.
Delta Lake
We implement and optimize Delta Lake to bring ACID transactions, schema enforcement, and data versioning to your data lakehouse - ensuring reliability and data integrity at scale.
Learn more about it on our blog
What Our Databricks Consulting Services Cover
Our Databricks consultants work on the parts of the platform where mistakes are expensive: migrations, cluster and job cost, lakehouse layout, governance, and streaming. Each engagement is scoped to one of these, with a written plan before any work is billed.
Migration to Databricks
From Hadoop, on-premises Spark, Amazon EMR, or a legacy warehouse to a Databricks lakehouse. We move workloads in phases, run both systems in parallel, and validate every table before cut-over.
Databricks cost optimization
DBU spend that grows faster than the data. We tune cluster sizing and autoscaling, job scheduling, Photon usage, caching, and the Spark code itself, and set up the cost reporting your finance team keeps asking for.
Lakehouse design with Delta Lake and Iceberg
Medallion layouts, partitioning and Z-ordering, Delta Lake table maintenance, and Apache Iceberg interoperability through UniForm so other engines can read the same data.
Unity Catalog and governance
Workspace and catalog structure, access control, lineage, and audit requirements, designed once so every new team and workload inherits the right defaults.
Streaming on Databricks
Structured Streaming and Delta Live Tables fed from Apache Kafka, Kinesis, or CDC, with exactly-once semantics and backpressure that holds under production load.
ML and AI pipelines
Feature pipelines, MLflow tracking and model serving, and vector and RAG workloads built on the lakehouse. See our AI consulting services for the application layer.
How a Databricks Engagement Works
Scoping call
A 30-minute call about your workspaces, workloads, and what is not working. You meet the engineer who will lead the work.
Platform review
A one- to two-week review of jobs, clusters, tables, and spend that produces a prioritized findings report and a plan.
Implementation
Our engineers make the changes with your team, as infrastructure as code where possible, measuring cost and runtime before and after.
Handoff or retainer
Documentation and runbooks for your team, or an hours bank so our Databricks consultants stay on call.
Fixed-scope project, hours bank, or embedded engineer: see how our engagement models and pricing work.
Why Us
- Proven track record delivering Databricks consulting services across industries
- Deep expertise in Spark, Delta Lake, and advanced analytics platforms
- End-to-end support: from architecture design to managed services and enterprise support
- Strong focus on performance optimization and reducing infrastructure costs
- Trusted by startups and Fortune 500 companies to power mission-critical analytics
What Our Clients Say
BigData Boutique's expertise and guidance have been invaluable throughout our journey to establish and operate a Databricks-based data lake for Spark big data processing.
We engaged Big Data Boutique to assist us in establishing a new Databricks environment. They performed superbly and delivered a comprehensive IaC solution with thorough documentation, and high-quality, professional code.
BigData Boutique has been a critical partner in our analytics modernization journey at Boar's Head, as we transitioned our analytics environment to leverage Apache Flink for streaming and ClickHouse for our data warehouse.
FAQ
What do Databricks consulting services include?
Our Databricks consulting services cover architecture design, data ingestion pipelines, Spark optimization, machine learning integration, and ongoing support - helping you build scalable and cost-efficient analytics platforms.
Can you help migrate from traditional databases or Hadoop to Databricks?
Yes. We provide seamless migration support from Hadoop, Spark on-prem, or traditional databases to Databricks lakehouse environments, ensuring minimal downtime and maximum performance.
Do you offer managed services for Databricks?
Absolutely. Our managed services include 24/7 monitoring, performance optimization, and enterprise-grade support to keep your Databricks environment stable and efficient.
How do you improve performance on Databricks and Spark applications?
We specialize in query optimization, workload distribution, and cost tuning - helping you reduce compute expenses while improving query execution and overall scalability.
Why choose BigData Boutique for Databricks consulting?
We are world-class Databricks and Spark experts with a proven track record across industries. Our consultants deliver end-to-end solutions, from architecture and training to enterprise-class support.
How are Databricks consulting services priced?
Platform reviews, migrations, and cost-optimization sprints are quoted as fixed-scope projects. Ongoing advisory work runs on a pre-paid hours bank or monthly retainer, and we also place embedded Databricks engineers with your team for a quarter or longer. We do not publish list prices; you receive a written quote, and meet the engineer leading the work, before anything is billed. See our engagement models page for details.
Can we start with a small Databricks cost review?
Yes, and most clients do. A one- to two-week review of your jobs, clusters, and DBU spend produces a prioritized list of savings and fixes. You can act on it yourself or use it as the scope for the next phase.
Should we choose Databricks or Snowflake?
It depends on the workloads. Databricks is usually the better fit for machine learning, streaming, and open-format lakehouses; Snowflake for BI-heavy analyst SQL. Many companies run both. Our Databricks vs Snowflake comparison on the blog goes through the trade-offs in detail, and our consultants are vendor-neutral when a platform choice is still open.
Ready to Get Started?
Get in touch with our Databricks experts or schedule a meeting to discuss your needs.