Data Meaning Tech Stack

BI consulting and data platform modernization for enterprise clients

IT Services and IT Consulting Coral Springs, FL 51–200 employees Founded 2007 Privately Held

Data Meaning is a consulting firm specializing in business intelligence transformations, now actively modernizing its own data stack. The technology mix—Power BI, Tableau, MicroStrategy alongside Snowflake, Databricks, and dbt—reflects a dual client base: legacy BI shops and emerging data-platform teams. Active adoption of dbt and Azure Purview, combined with projects around data governance strategy and pipeline migration, signals the firm is moving upmarket toward governance-first, cloud-native implementations rather than standalone dashboarding work.

Tech Stack 52 technologies

Core StackPower BI Databricks Snowflake Python Apache Airflow AWS Tableau Azure Data Factory dbt Unity Catalog Jira Confluence Azure DevOps Smartsheet TensorFlow PyTorch Matillion Django Flask PostgreSQL MongoDB Alteryx Alteryx Designer Alteryx Server Qlik Fabric Azure Data Lake Storage YOLO MicroStrategy Azure+17 more

Adoptingdbt Azure Purview

What Data Meaning Is Building

◆Challenges

Modernizing client data platform
Pipeline migration effort
Operational stabilization of pipelines
Implementing enterprise data governance
Ensuring data compliance
Embedding governance into pipelines
Safety monitoring
Real-time detection

▲Active Projects

Proof-of-concept workflows
Dbt-based transformation framework implementation
Vendor-managed pipeline transition
Azure purview implementation
Data pipeline development
Data governance strategy design
Ai-driven video analytics initiative
Real-time detection and alerting capability

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Data

Engineering

Ops

Sales

Seniority

Senior

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About Data Meaning

Data Meaning provides business intelligence consulting, data warehousing, and platform modernization services to mid-market and enterprise clients, including government agencies. Founded in 2007, the 51–200-person firm operates across the United States and Brazil. Service offerings span short and long-term consulting contracts, staff augmentation, and outsourced data operations. The current project portfolio emphasizes proof-of-concept workflows, dbt-based transformation frameworks, vendor pipeline transitions, and data governance design—indicating a shift toward cloud infrastructure and compliance-focused engagements. The company is in hiring acceleration mode, prioritizing senior-level data and engineering talent.

HeadquartersCoral Springs, FL

Company Size51–200 employees

Founded2007

Hiring MarketsBrazil, United States

Frequently Asked Questions

What technologies does Data Meaning use?

Primary stack includes Power BI, Tableau, MicroStrategy, Snowflake, Databricks, dbt, Apache Airflow, AWS, Azure, and Python. Currently adopting dbt and Azure Purview for pipeline transformation and data governance.

What is Data Meaning working on?

Current projects include dbt transformation framework implementations, Azure Purview data governance rollouts, vendor-managed pipeline transitions, real-time detection and alerting, and AI-driven video analytics—emphasizing modernization and governance.

How this profile is built

Data Meaning's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.