Blockchain Data Wizard, Analyst or Scientist

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:

• 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.

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.

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.

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  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.

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  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.

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  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.

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  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

• The Information's Top 50 Startups (https://www.allium.so/post/allium-named-to-the-informations-50-most-promising-startups-of-2025)

• Mario Gabriele from The Generalist's Future 50 Startup List: https://www.allium.so/post/allium-named-awardee-of-the-generalists-inaugural-future-50-startups

• Tomasz Tungus from Theory Ventures: https://tomtunguz.com/allium/

• Bucky Moore from Kleiner Perkins: https://www.kleinerperkins.com/perspectives/allium-series-a/

• 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 means caring about the small things. The decoded contract that ships with one wrong field. The label that is 99% accurate but wrong on the address that matters. The query that runs in 4 seconds when it should run in 400 milliseconds. Most companies tolerate these. We do not.

  Obsessiveness shows up as depth of care. It is not measured in hours worked or visible effort. You should feel something physical when work ships half-right. That instinct is what we hire for.

• Pro Athlete Mindset - Consistency. Day in and day out, in pursuit of excellence. A win yesterday does not guarantee (or even imply!) a win tomorrow. I hope anyone who supports a failing sports team will feel the pain (cough Man United fans) of inconsistency

• Figure It Out & Extreme Ownership - Every day is unexplored territory. There are new engineering frameworks, new legal docs, new compliance, new sales, new regulations, and new operational procedures every single day. If you don’t know it, learn it. If you can’t learn it, find someone or a product that does it. If you can’t find someone, find someone who can find someone. It is never lack of resources, but lack of resourcefulness.

• High Agency - (One of) the highest commonality between all successful people is their responsiveness, most successful billionaire CEOs still reply to emails within minutes (within working hours). And when you reply, respond fast with effective solutions - and even better, resolutions. If you’re looking for a superpower, you can’t go wrong with responsiveness. Well of course this doesn't make sense when you're an engineer coding in flow, but in general high agency of problem solving gets one very far in life

• Leading from the Front - No one is going to listen (and adopt) your suggestion unless you lead by example. It’s one thing to say We need to do XYZ this better & it’s another thing to build an MVP and say “This is the way we should do things”. The proof of work and momentum goes a long way.

• Strong Opinions On the Future (loosely held) It is okay to be wrong, but what is not okay is not to have an idea of how a better future should be. Alliumites take pride in trying to improving everything about the company all the time.

• Sense of (allium) business smell - There are number of folks who live to eat at Allium, but the Allium smell we are talking about is that we love folks who naturally want to know why and how the work they are doing builds leverage for their teammates and also relates to the business goals

We invite people of all backgrounds (https://www.allium.so/about). We have engineers who learnt coding much later in life, who learnt coding on the side, we have engineers who are still in school and we also have engineers who went to the top schools (CMU, Stanford, UIUC, UPenn, Oxford, NUS, Cornell), all are welcome if one comes in with a curious mind and an infectious work ethic.