echoloc/ Companies/ Vivanti Consulting

Company profile

Vivanti Consulting Tech Stack

Data, AI and cloud consultancy building lakehouses and GenAI solutions

IT Services and IT Consulting Sydney, NSW 51–200 employees Founded 2021 Privately Held

Vivanti Consulting is a data, AI and cloud consultancy whose multi-cloud stack spans Snowflake, Databricks, Microsoft Fabric, AWS, Azure and GCP, plus LLM providers like Anthropic, OpenAI and Mistral. Hiring is accelerating and heavily skewed toward senior and principal data talent, matching project demand for Databricks lakehouse migrations off legacy warehouses and Hadoop. Adoption of RAG, AWS EKS and serverless signals growing GenAI and container-platform delivery work.

Tech Stack 105 technologies

Core StackSnowflake AWS Neo4j Python Apache Spark PyTorch TensorFlow scikit-learn MLflow Docker Kubernetes Terraform Databricks SageMaker Vertex AI Anthropic OpenAI dbt Apache Airflow Dagster Fivetran Matillion Azure GCP Microsoft Fabric Azure Machine Learning NVIDIA Mistral Gemini CLI OpenAI Codex+71 more

AdoptingRAG AWS EKS Serverless

What Vivanti Consulting Is BuildingChallenges and projects from their job posts

◆Challenges

Reducing cloud consumption costs and cost governance
Legacy debt and infrastructure modernisation
Performance tuning high-volume data pipelines
Delivering scalable AI solutions
Recruiting top data and AI talent

▲Active Projects

Migrating legacy warehouses and Hadoop estates to Databricks
Enterprise lakehouse on Delta Lake and Unity Catalog
Generative AI applications using LLMs
Batch and streaming pipelines with PySpark
Migrating workloads to AWS EKS
Data governance framework

Hiring Activity

Accelerating40 roles · 35 in 30d

Department

Data

Engineering

Sales

Seniority

Senior

Mid

Principal

Lead

Junior

Companies like Vivanti Consulting

2,800+ IT Services and IT Consulting companies running Snowflake and Azure

See the full list

About Vivanti Consulting

Vivanti Consulting is a privately held data, AI and cloud consultancy founded in 2021 and headquartered in Sydney, NSW. The firm employs 51–200 people and operates offices across Australia (Sydney, Canberra, Brisbane, Melbourne), the UK (London), the US (New York, Washington DC, Denver and Atlanta) and India (Bengaluru). Its consultants design data architectures, build lakehouses and pipelines, and deliver machine learning and generative AI applications for enterprise clients. Delivery covers platforms including Snowflake, Databricks, Microsoft Fabric, dbt, Airflow and the three major public clouds.

HeadquartersSydney, NSW

Company Size51–200 employees

Founded2021

Hiring MarketsAustralia, India, United Kingdom, United States

Frequently Asked Questions

What tech stack does Vivanti Consulting use?

Vivanti works across Snowflake, Databricks, Microsoft Fabric, AWS, Azure and GCP, with Python, Apache Spark, dbt, Airflow, Dagster, Fivetran, Terraform and Kubernetes, plus ML tools like MLflow, PyTorch and SageMaker.

Where does Vivanti Consulting have offices?

Headquartered in Sydney, Vivanti has offices in Canberra, Brisbane, Melbourne, London, New York, Washington DC, Denver, Atlanta and Bengaluru, and hires in Australia, India, the UK and the US.

Is Vivanti Consulting hiring data engineers?

Yes. Hiring is accelerating and dominated by data roles, mostly at senior and principal level, alongside engineering positions focused on lakehouse, pipeline and cloud platform work.

Similar Companies in IT Services and IT Consulting

Other companies in the same industry, closest in size

SunnyData

IT Services and IT Consulting

Blue Orange Digital

IT Services and IT Consulting

Ingrity

IT Services and IT Consulting

Understanding Solutions

IT Services and IT Consulting

How this profile is built

Vivanti Consulting'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.