Blockchain Data Analyst

The 4 biggest blockchain strengths are also its weakness

• Permissionless nature leads to fragmentation of meaning

• Decentralization leads to too many standards

• Immutability leads to exponential data + query infrastructure complexity

• Neutrality means that no one is accountable for interpretations

Blockchain data is public. It is not usable at institutional scale. Despite being open, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a simple question like “Who are the largest Ethereum token holders over time?” can require running nodes, ingesting full chain history, decoding contracts, cleaning edge cases, and writing complex SQL.

Blockchains are optimized for writes, not reads.

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

• Exponential complexity

• No accountability for interpretation

• Events without economic meaning

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

Allium is building the System of Record for Onchain Finance

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:

• Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income

• Standardization Gap: Mapping thousands of protocols into a single canonical cross chain schema

• Infrastructure Gap: Read optimized, globally distributed data at web scale

• Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance

The result is a neutral, canonical data layer institutions can build on with confidence.

Finance is moving onchain

Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted source of truth for onchain financial activity, just as they rely on Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role.

As AI agents begin transacting autonomously, the requirement becomes even stricter. Agents cannot reason over raw event logs. They need structured data, attribution, condition checks, and auditability.

Allium is the read layer that makes onchain finance usable for humans and machines.

Who We Serve

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.

About the role

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.

What you will do

• 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.

Qualities

• 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.