Blockchain Data Wizard, Analyst or Scientist

They are built for consensus and execution, not searchability, standardization, or financial interpretation. Blockchains are computers, not databases. Every protocol defines its own schema. The same economic action can be encoded in dozens of different ways. The result:

• Fragmented standards

Finance cannot operate on that, it needs an effective system of record.

Allium ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We close four structural gaps that prevent blockchains from becoming systems of record:

Allium powers three core personas with the same canonical data foundation:

1. Finance, Accounting, and Risk TeamsThey need reliable, audit grade answers. They rely on Allium for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators.

2. Engineers and Product Teams They need low latency, production ready infrastructure. They use Allium to power wallets, trading systems, payment rails, staking infrastructure, and real time applications that cannot break.

3. Strategy, Research, and Executive Teams They need clarity and insight. They use Allium to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain.

and of course.. agents 🦞. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve.

At Allium, Blockchain Data Wizards are the data architects who transform raw, fragmented on-chain data into elegant, meaningful abstractions that power the world's largest crypto applications.

You'll be equal parts detective, data engineer, and protocol researcher—diving deep into blockchain internals, reverse engineering DeFi protocols, and crafting data models that institutions and developers rely on.

• Creating Meaningful Data Abstractions
  Transform messy on-chain data into unified, intuitive data models (e.g dex.trades, lending.liquidations) that work across verticals and protocols, providing users with granular, reliable insights.

• Reverse Engineer DeFi Protocol Mechanics
  Dive deep into the mechanics of new DeFi protocols, dissect smart contract interactions and on-chain events, extract the data that matters, and transform it into clean, production-ready models using SQL/dbt.

• Indexing New Blockchains
  Dive into a blockchain's raw data structures, ensure complete and accurate data capture, and design schemas that translate native blockchain data into reliable internal models, becoming the trusted source of truth for that ecosystem.

• Building Metrics & Filtering Noise
  Design and create metrics people can actually use - volumes, fees, TVL, and user activity, and filter out noise like wash trades, bots, and Sybil attacks. Make it easy for the industry to see what's real and what matters.

• Sherlock & Enola Holmes-Level Curiosity
  You find peculiarities in data that others miss. You question assumptions, dig deeper when something looks off, and help the industry redefine narratives with evidence-based insights.

• Product-Minded Data Design
  You don't just build tables—you design data products. You think about query patterns, performance, documentation, and how end users will interact with your models.

• Comfortable with Ambiguity
  New blockchains and protocols have sparse documentation. You thrive when you need to figure things out yourself through exploration and experimentation.

• SQL/dbt Mastery
  You can write elegant, performant SQL transformations that process large volumes of data. You understand incremental models, macros, and how to build maintainable data pipelines at scale.

• Co-developing methodology to identify organic and meaningful stablecoin activity, powering Visa's Stablecoin Dashboard

• Reconstructing Bitcoin Ordinals data to power research work

• Sybil Detection for Wormhole's Token Launch

• Powering Brevan Howard Digital's stablecoin industry reports

• Design chain level metrics (Fees, Activity..) for all chains

• Obsessiveness - The best people at Allium cannot put a problem down once they pick it up. We care more about the work than is strictly rational. Institutions trust us because our data is right. Right