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JustSoftLabJustSoftLab
JustSoftLabJustSoftLab
AI Assistant
Services/Data Engineering/Data Consulting

Senior data engineers who have seen this before.

Stuck between vendors? Team scaling challenges? Architecture debates? We bring engineers with 10+ years of production data experience who help you make the right call. Not generic advice — specific recommendations backed by experience.

150+

Data consulting engagements completed

92%

Recommendation implementation rate

3x

Average ROI on consulting investment

48hrs

From engagement start to first insights

What we build

Expert guidance for hard decisions.

Technical due diligence

Evaluating a data platform for M&A? Assessing a vendor's claims? We do deep technical reviews of data systems, architectures, and team capabilities. Honest assessment, not sales pitch.

Team structure advisory

How many data engineers do you need? Should you centralize or embed? Platform team or data mesh? We design org structures that match your data maturity and business goals.

Vendor evaluation

Snowflake vs. Databricks. Airflow vs. Dagster. Fivetran vs. Airbyte. We run structured evaluations against your actual requirements — not feature checklists, but production-readiness assessments.

Performance audit

Slow queries, expensive jobs, underutilized clusters. We audit your data platform performance and deliver specific optimizations — typically reducing costs 30-50% while improving speed.

Security & compliance review

PII exposure, access control gaps, encryption shortfalls. We review your data security posture against SOC 2, GDPR, HIPAA, and industry standards. Findings with prioritized remediation plan.

Fractional CDO / Head of Data

Need senior data leadership but not ready for a full-time hire? We provide part-time data executives who set strategy, build teams, and establish practices — until you're ready to hire permanently.

Sound familiar?

Consulting problems we solve every week.

We're about to sign a $500K platform contract and we're not sure it's the right choice.

We run a structured vendor evaluation in 2 weeks. Your actual workloads, your data volumes, your team skills. We'll tell you which platform fits — and which one the sales team is overselling.

We hired 5 data engineers but velocity hasn't improved.

We audit your team structure, processes, and tooling. Usually the problem isn't people — it's unclear ownership, too much context-switching, or missing platform capabilities. We redesign for velocity.

Our CTO wants to adopt data mesh but our team has 3 people.

We help you separate the valuable principles (domain ownership, data as product) from the organizational overhead. You get a pragmatic roadmap that scales governance with your team — not ahead of it.

Tech stack

Tools we use in production.

Data maturity frameworks
DAMA-DMBOK
DataOps practices
Snowflake
Databricks
BigQuery
Redshift
dbt
Airflow
Dagster
Prefect
Apache Kafka
Apache Spark
Apache Flink
AWS
Azure
GCP
Terraform
Kubernetes
CI/CD pipelines

Ready to build

Let's talk about your data challenges.

45 minutes with our senior data consultants. Bring your toughest question — vendor choice, team scaling, architecture debate. We'll give you a straight answer based on what we've seen work in production.