Analytics consulting subscription
for data leaders.

Data engineering, warehousing, and BI — you own the backlog, we ship the work. Fixed monthly rate, cancel any time.

What's included

A cross-functional data professional in one subscription.

Lucid covers the full data lifecycle — architecture, engineering, and BI — so you don't have to staff three roles to ship one feature.

Data platform development

Lakehouses, warehouses, pipelines, notebooks, and real-time intelligence.

Semantic modeling & BI

Semantic models, DAX, reports, and governed self-service analytics.

Data warehouse design

Dimensional models, medallion architecture, and business-ready data products.

Pipeline orchestration

Batch and streaming ingestion, scheduling, and end-to-end data flow.

Data engineering

PySpark processing patterns, performance tuning, and notebook design.

Deep expertise in

Fabric Power BI Synapse Apache Spark

Why a subscription model

A better way to deliver analytics work.

After a decade of delivering analytics projects, three things consistently put project teams at risk: budgets creep, schedules slip, and the value at the end gets diluted.

Budget
45%

the average budget overrun on large IT projects — with half of them massively blowing their numbers.

McKinsey & Oxford →
Schedule
1 in 6

IT projects becomes a "black swan" — averaging a 200% cost overrun and a 70% schedule overrun.

Harvard Business Review →
Value
½ lost

a six-month delay on a tech program typically cuts a projected 10× return down to 4–5×.

BCG, 2024 →

What makes Lucid different

Subscription-first. Built for how data teams actually work.

Fixed monthly rate

One price. No change orders, no timesheets, no surprise invoices. Budget with certainty.

No long-term contracts

Month-to-month. Pause when your backlog is quiet, resume when it isn't. Cancel any time.

You own the backlog

Keep your work in JIRA or Azure DevOps. Prioritize as you always have. We pull from the top.

Async by default

Work happens in your ticketing tool — tickets, comments, Teams messages. Hours that would be sunk in recurring status calls get redirected into development output instead.

How it works

Three steps. No onboarding theater.

01

Subscribe

Pick a start date and a flat monthly rate. You'll get access to Lucid as an extension of your team within one business day.

02

Add to your backlog

Drop work into your existing JIRA or Azure DevOps board. Unlimited items, no ticket budgets, you control priority.

03

Receive the work

Lucid pulls one item at a time from the top of your queue, builds it, and ships it back. Review, approve, repeat.

One item at a time

Focus beats parallel every time.

Your backlog can hold unlimited tickets across any tool or workload — Fabric, Power BI, Synapse, Spark. Only one item is in active development at a time; the next begins the moment the previous enters testing. No downtime between builds, no parallel thrashing.

A funnel of tools distilled into a single pipeline moving through Develop, Test, and Release

Pricing

One plan. Everything included.

Lucid is priced below the cost of a single full-time BI developer — and gives you architecture, engineering, and BI in one.

Average monthly salary of hiring in-house

$9.5KPower BI Developer
$10.7KData Engineer
$12.2KData Architect
$7.5KLucid

Figures are composite US base-salary averages, April 2026, from Glassdoor, Salary.com, ZipRecruiter, and Built In. Base salary only — excludes benefits, payroll taxes, and overhead.

Lucid Subscription
$7,500/month
Month-to-month · Cancel anytime
  • Data platform development
  • Semantic modeling & reporting
  • Data warehouse & dimensional modeling
  • Batch & streaming orchestration
  • Spark / PySpark data engineering
  • Backlog lives in your JIRA or Azure DevOps
  • One item in active development at a time
  • Unlimited backlog items & priority changes
  • Async-first communication
  • Pause or cancel your subscription any time

FAQ

Questions, answered.

Are you Microsoft-only?

Yes — Lucid specializes in the Microsoft data stack: Fabric, Power BI, Synapse, and Azure. If your platform is AWS, GCP, Snowflake, or Databricks-native, we're probably not the right fit. That specialization is what lets a single subscription cover architecture, engineering, and BI under one roof.

What turnaround can I expect?

Timelines depend on scope, and a specific turnaround is committed when a ticket enters active development. Small items — adding a measure, modifying a report, tweaking a pipeline — typically ship within a day. Mid-sized items like onboarding a new data source or integrating data into the engineering layer usually land within a few days. Larger items like building a net-new dimensional or semantic model can run 1–2 weeks. You'll never wonder what's happening — every active ticket carries a committed ETA and async updates keep you current without meetings.

How does the "one item at a time" rule actually work?

Only one ticket is in active development at any moment. As soon as it enters testing, Lucid pulls the next one from the top of your backlog and starts building — so there's no downtime between items, but nothing gets stranded half-done across parallel threads either. You stay in control of priority throughout.

How does async communication work in practice?

Requirements, questions, reviews, and handoffs happen in your ticketing tool, in comments, and over Teams messages. Calls still happen when they genuinely move the work forward — kickoffs, design decisions, the occasional unblock — but the hours that would otherwise be sunk in recurring status meetings get redirected into development output instead.

Can I pause the subscription?

Yes. If your backlog goes quiet for a few weeks, pause billing and resume when you're ready. No re-onboarding.

How fast can I cancel?

Any time, for any reason. Month-to-month with no termination fees. You keep every artifact delivered during the subscription.

Who owns the work?

You do. Everything Lucid builds is delivered into your environment, in your repos, on your terms. No lock-in.

What isn't included?

Lucid focuses on analytics platform work — data engineering, warehousing, orchestration, and BI. Data science / ML model training and heavy front-end application development are out of scope, though Lucid can integrate cleanly with teams handling those.

How do I get started?

Book a 30-minute intro call. If Lucid is a fit, we'll agree on a start date, you'll add Lucid to your existing backlog system, and work begins within one business day.

Book a call

See if Lucid is the right fit for your team.

Grab a 30-minute intro on the calendar. No slide deck, no sales script — just a conversation about your backlog, your stack, and whether a subscription makes sense for how you work.

  • 30 minutes, no obligation
  • Direct line to the person doing the work
  • Walk away with an honest answer either way