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Simbus helps organizations design, build, and scale modern data platforms using the Databricks Data Intelligence Platform.
From data engineering and lakehouse implementation to advanced analytics and AI deployment — we enable businesses to turn complex data into measurable outcomes faster.
Unlock the Full Power of Your Data with Databricks
Data Engineering Challenges for Existing Databricks Users
Many companies adopt Databricks to modernize their data platforms — but as data volumes grow and use cases expand, new operational and engineering challenges often emerge.
Fragmented Data Engineering Practices
Different teams building pipelines in isolation can create inconsistent data models, duplicated workflows, and higher maintenance effort — limiting the full value of the Lakehouse architecture.
Unoptimized Pipelines & Performance Issues
Without standardized engineering frameworks, organizations may struggle with slow jobs, inefficient Spark workloads, and increasing compute costs.
Governance & Data Management Gaps
Even with Unity Catalog available, companies often lack clear governance strategies, leading to access challenges, data duplication, and reduced trust in enterprise data assets.
Limited Real-Time & Streaming Adoption
Batch pipelines dominate early implementations, leaving real-time analytics and streaming capabilities underutilized — slowing time-to-insight.
Sound familiar?
It may be time to optimize your Databricks platform with stronger engineering frameworks, governance, and performance-focused lakehouse solutions.
Simbus Databricks Services
Partial Implementation (Modular Deployments)
Application Maintenance & Support (AMS)
Enhancements & Platform Upgrades
Expert Pods (Rapid Deployment Pods)
PARTIAL IMPLEMENTATION
Ideal for clients who already have Databricks but need selective components built or mized.
- Lakehouse architecture set up with partial layers and Medallion architecture modernization.
- Medallion architecture modernization
- Data quality & governance (Unity Catalog)
- Cost optimization & performance tuning
- Migration of selective pipelines from legacy systems like Informatica, Talend, Snowflake, and SQL warehouses.
Value: Faster execution, low disruption, plug-and-play components, budget friendly.
ENHANCEMENTS & PLATFORM UPGRADES
Extend, enhance or mature existing Databricks environments.
- Pipeline re-engineering for scalability
- Real-time/near-real-time ingestion enablement
- Orchestration improvements (Jobs, Workflows, ADF integration)
- CI/CD setup for Databricks repos
- Catalog/permission model redesign
- Monitoring, observability, and cost governance improvements
Value: Improved reliability reduced cloud spend, stronger data governance.
APPLICATION MAINTENANCE & SUPPORT (AMS)
Reliable operations for your Databricks workloads.
- L1–L3 support for pipelines, clusters, jobs
- Health checks, SLA-driven monitoring
- Break-fix, performance troubleshooting
- Platform administration & access management
- Monthly optimization and usage reporting
Value: High uptime reduced operational burden, predictable support model.
EXPORT PODS (RAPID DEPLOYEMENT PODS)
Flexible talent to support ongoing delivery.
- Certified Databricks Data Engineers
- Azure/AWS cloud engineers
- ETL & Data Quality specialists
- DevOps/CI-CD + Platform engineers
- Rapid Deployment Pods (3–4 member teams) for accelerated delivery
Value: Immediate capacity, skilled engineers, and scalable teams.
WHY SIMBUS Technologies?
Proven Data Engineering Expertise:
Strong foundations in supply chain, retail, and enterprise data.
Certified Databricks Talent
Engineers skilled across DLT, Delta Lake, Unity Catalog, open-source tools also like Apache Airflow, DBT and Azure stack like ADF, Azure Devops, Github
Flexible Engagement Models
Partial, modular, project-based, AMS, or augmentation.
Faster Time-to-Value
Accelerators, reusable frameworks, best practices for quick rollout.
Cost-Effective Delivery
Offshore teams for efficient execution.
