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Databricks Consulting & Support

Databricks Consulting & Services for Enterprises

AceMQ engineers design, tune, and operate Databricks lakehouses for financial services, healthcare, and manufacturing teams. Every engagement is staffed by a named senior engineer — no ticket queues, no junior triage.

Without re-platforming the lakehouse or rewriting every notebook

11+ Senior SMEs<15min Emergency SLA130+ Customers26+ Countries Served

AceMQ is trusted by global brands Including

The Problem

Why teams call us about Databricks

All-purpose clusters stay running long after the last job finished
Small files in Delta tables make every read scan far more files than the row count justifies
Job clusters are sized for the worst-case run and pay for it on every ordinary one
Photon was switched on everywhere without checking which workloads actually benefit
Production notebooks have no version control and no repeatable deployment path
Unity Catalog was adopted partially, so permissions live in two places and agree in neither
A shuffle-heavy job spills to disk and the run time doubles without the data doubling
DBU consumption grows quarter on quarter and cannot be attributed to a team or a workload
Our Services

Databricks Consulting & Support

Every engagement is staffed by a senior Databricks engineer — no juniors, no ticket queues.

01

Lakehouse Architecture & Implementation

We design medallion-architecture lakehouses on Delta Lake that balance query performance, storage cost, and governance from day one.

  • Bronze/silver/gold medallion layer design with Delta Lake table optimization (Z-ordering, OPTIMIZE, VACUUM scheduling)
  • Unity Catalog metastore design: catalogs, schemas, external locations, and credential vending
  • Migration from legacy Hive metastore to Unity Catalog with zero-downtime cutover planning
  • Delta Live Tables pipeline architecture for declarative ETL with data quality expectations
02

Cost & Performance Optimization

DBU spend grows unpredictably when cluster policies aren't governed. We tune workloads and enforce spend controls that cut compute cost without slowing delivery.

  • Job cluster vs. all-purpose cluster strategy audits to eliminate idle DBU burn
  • Cluster right-sizing, autoscaling policy tuning, and instance pool configuration
  • Photon engine adoption analysis and query plan tuning for slow Spark SQL jobs
  • DBU spend governance: cluster policies, budgets, and chargeback tagging by team
03

Migration to Databricks

Moving off a traditional warehouse or an aging Hadoop cluster is the most common Databricks engagement we run. We plan the cutover so reporting never breaks.

  • Traditional warehouse (Teradata, Netezza, on-prem SQL Server) to Databricks SQL migration
  • Hadoop/Hive to Delta Lake migration with schema and partition strategy redesign
  • ETL pipeline conversion from legacy tools (Informatica, SSIS, Talend) to Databricks workflows
  • Parallel-run validation and row-level reconciliation before legacy decommission
04

Managed Databricks Operations

Once you're live, someone has to own job failures, workspace sprawl, and cost creep. We provide ongoing operational coverage so your data team can focus on building.

  • 24/7 job failure triage and incident response for production pipelines
  • Workspace and CI/CD governance using Databricks Asset Bundles for repeatable deploys
  • MLOps pipeline support: MLflow experiment tracking, model registry, and serving endpoint monitoring
  • Ongoing cluster policy and access control maintenance as teams and workloads grow
05

Lakehouse Health Check & Assessment

A structured review of your Databricks environment — architecture, cost, governance, and security — with a prioritized remediation plan.

  • DBU spend and cluster utilization audit against workload patterns
  • Unity Catalog governance and access control review
  • Delta table health check: file compaction, small-file problems, and stale statistics
  • Security posture review: network configuration, secret scopes, and credential passthrough

24/7 Databricks Support

15 MIN SLA

Named senior engineers on your account — 15-minute emergency response, no ticket routing, no junior triage.

  • 15-minute emergency response SLA
  • Named engineer, zero cold-start
  • Proactive CVE & health monitoring
  • Quarterly deployment reviews
View support plans
How It Works

What actually happens next

11–2 weeks

Workspace and workload review

We look at cluster configuration and autoscaling behaviour, job run history and spill, Delta table layout and file sizes, how far Unity Catalog coverage actually extends, and where the DBUs are being spent.

2Within a week

Written findings and plan

Which jobs and which table layouts drive the cost and the run time, what is merely correlated with it, and what to change first. Written so your own engineering leadership can sign it off.

3Scoped per engagement

Implementation alongside your team

Cluster policies, table optimisation and job changes rolled out workload by workload, each validated against the previous run times before the old configuration is retired.

4Ongoing

Handover and optional cover

Runbooks for cluster policy changes, table maintenance and cost attribution, plus 24/7 support with a 15-minute emergency SLA if you want it.

A senior engineer, not an SDR. No sales sequence attached.
Customer Success

Real Databricks Results

See how enterprises trust AceMQ for their most critical Databricks workloads.

All use cases
💳Assessment

Databricks DBU Cost Governance

Global Payments Processor

Right-sizing Databricks compute by moving scheduled work off all-purpose clusters and tightening autoscaling, instance selection, and idle timeouts.

DatabricksApache SparkDelta Lake+1
Read case study
🏥Consulting

Databricks Unity Catalog Migration

Healthcare Analytics Provider

Migrating off the legacy Hive metastore to Unity Catalog with external location mapping, table upgrades, and a grant model that survives audit.

DatabricksDelta LakeApache Spark+1
Read case study
☁️Remediation

Databricks Delta Small-File Remediation

Digital Retail Platform

Fixing Delta tables where streaming writes and over-partitioning have produced millions of tiny files, stalling reads and vacuum operations.

DatabricksDelta LakeApache Spark
Read case study
🌐Support

Databricks Job Cluster Failure Support

Insurance Services Group

Named-engineer support for production Databricks job failures — driver OOM, spot reclamation, library conflicts, and workflow retry storms.

DatabricksApache SparkDelta Lake
Read case study
☁️Assessment

Apache Spark Workload and Cost Assessment

Media Streaming Provider

Profiling a Spark estate to find over-provisioned jobs, redundant pipelines, and workloads better served by something other than Spark.

Apache SparkDatabricksDelta Lake+1
Read case study
24/7 Support

Databricks Support When It Matters Most

Direct access to senior engineers — 15-minute emergency response, no ticket routing, no junior triage.

15 min

Emergency

1 hour

Critical

4 hours

High

Next Day

Standard

How Our Support Actually Works

Beyond SLAs — the model behind senior-only, zero-cold-start expert access.

Named Engineers on Your Account

Every ticket is handled by a senior SME assigned to your account — not a pool of anonymous agents. Zero cold-start. No re-explaining your environment.

Live Escalation on Any Ticket

Any ticket can be escalated to a live session with your named engineer via calendar booking. No gatekeeping, no approval required — direct access, always.

Proactive Risk Mitigation

Quarterly health checks on your deployment plus shared intelligence from 50+ support customers — we surface risks before they reach production.

Critical Bug & CVE Intelligence

Proactive alerts on critical bugs and CVEs affecting your exact version, with version compliance monitoring so you're never caught off guard.

Licensing & Security Edge

Dedicated support for vendor license negotiations and compliance audits, plus bi-annual security reviews focused on your specific deployment.

Direct Product Roadmap Access

As the only vendor directly connected to the core engineering teams, AceMQ delivers exclusive early insights, strategic upgrade planning, and curated release summaries — tailored to your environment.

49+ Platforms Supported

We Support Your Entire Tech Stack

Databricks rarely fails in isolation. AceMQ covers the full surrounding infrastructure — so one team owns the whole path instead of pointing at each other.

Message Brokers & Event Streaming

RabbitMQApache KafkaActiveMQIBM MQAmazon SQSAzure Service BusGoogle Pub/SubRedpandaApache Pulsar

Databases & Caching

RedisMongoDBPostgreSQLMySQLApache CassandraMemcached

Search & Analytics

ElasticsearchOpenSearchELK StackClickHouseApache Druid

Lakehouse & Compute

DatabricksSnowflakeStarburstApache SparkApache HadoopApache Flink

Observability & Monitoring

PrometheusGrafanaDatadogNew RelicSplunk

Data Integration & Orchestration

Apache AirflowApache NiFiAirbytePentaho

Cloud & Containers

KubernetesDockerAWS LambdaAzure Functions

API Management & Integration

KongApigeeMuleSoftWSO2

VMware Tanzu

Tanzu RabbitMQGreenPlumGemFireSpringValkeyPostgres
View Support Plans
Why AceMQ

The engineer model
that actually holds.

No junior triage, no ticket queues, no offshore routing — direct access to the named engineer who knows your environment.

11+

Senior SMEs

<15min

Emergency SLA

130+

Customers

26+

Countries Served

Production-Proven Lakehouse Expertise

Our engineers hold deep, hands-on Databricks expertise from Delta Lake table design to Unity Catalog governance at financial services scale.

Break/Fix Through Root Cause

We stay engaged on job failures and pipeline incidents until the root cause is documented and production is fully stable — not just until the retry succeeds.

Healthcheck & Quarterly Reviews

Structured DBU spend, cluster configuration, and Unity Catalog governance reviews — with a prioritized remediation report after each one.

15-Min Emergency Response

Named engineer on your account. When a production pipeline breaks, you call us directly — no ticket, no triage, no cold-start.

FAQs

Databricks Questions Answered

Common questions about Databricks consulting, support, and migrations.

Our Databricks consulting covers lakehouse architecture design, Unity Catalog governance, DBU cost optimization, migration planning, and MLOps pipeline support. Every engagement is staffed by a named senior engineer with production Databricks experience across AWS, Azure, and GCP deployments.

Yes — cost governance is one of our most requested Databricks engagements. We audit cluster policies, job vs. all-purpose cluster usage, and autoscaling configuration, then implement budget-based governance so spend stays predictable without slowing delivery.

Yes. We plan and execute Hadoop-to-Databricks migrations, including Hive-to-Delta Lake schema conversion, HDFS data migration to cloud object storage, and parallel-run validation before the legacy cluster is decommissioned.

A structured review of DBU spend, Unity Catalog governance, Delta table health (file compaction, stale statistics), and security posture, delivered as a written report with prioritized remediation steps. Most teams run this quarterly or after a major workload change.

Yes, we work across all three cloud deployments of Databricks and recommend the platform and region configuration that fits your existing cloud footprint and compliance requirements — not the one that's easiest for us.

We start with the job run logs and cluster event log to isolate whether the failure is a code, data, or infrastructure issue, then move to remediation and a documented root cause. Named engineers stay engaged until the pipeline is stable, not just until the retry succeeds.

Still have questions about Databricks?

Email an Expert

Ready to Stabilize Your Databricks Environment?

Whether you need emergency support, a lakehouse health check, a migration partner, or ongoing managed operations — AceMQ staffs every engagement with a named senior Databricks engineer. Get a quote in 24 hours.

Email a Databricks Architect
Get in Touch

Talk to a Databricks Expert

Send us a message and we'll follow up within one business day — or book a free 30-min consultation directly.

305-204-2607
info@acemq.com
66 W. Flagler St. 9th Floor
Miami, FL 33130

Prefer to talk now? Call us directly or use the consultation tab to find a time that works.

We respond within 1 business day.

Pick a time that works — no pressure, no pitch. Just 30 minutes with an expert.

We respond within 1 business day.