Blockchain Data Wizard

New York

Allium

Accurate, Fast, Simple blockchain data. We cover 40+ blockchains, 100+ schemas, in near realtime on a single platform

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Allium makes blockchain data accurate, simple and fast

Blockchain data is hard, messy, and chaotic

When we started out in late 2021 our thesis was simple - blockchain data, despite it being public and free, was difficult to understand, clunky to access and troublesome to maintain. Answering a simple question like “Who are the biggest Ethereum token holders over time?” requires an engineering team to run their own RPC nodes, ingest the full history of the blockchain, clean the data, transform the data and finally summon a wizard to cast a complex SQL query.

Accessing data is hard because blockchains are optimized for Writes and not Reads

Why is it so hard? Blockchains have historically been optimized for Writes (getting data onto the blockchain) and less for Reads (getting data OUT of the blockchain). This is because optimization efforts were focused on increasing transaction throughput and building fault tolerant and scalable consensus algorithms. This neglect makes it hard to get data out efficiently and reliably at scale.

Parsing and interpreting blockchain data requires both deep domain expertise and data manipulation

To quote Tim Roughgarden, Columbia Professor, “Blockchains are (virtual) computers, not databases.”  They are Turing machines that support general computations, and anyone can write and deploy their own smart contract for their own use case. This nearly infinite number of use cases leads to the fragmentation of data schemas for different purposes. Standardizing these schemas requires deep domain expertise to turn esoteric technical outputs into clear information for specific concepts like tokens, NFTs, stablecoins and DEXs.

Allium abstracts the complexity with a simple way to query blockchain data

Allium tames the chaos by ingesting, sanitizing, and standardizing all this data. As of this post, the data we’ve archived across 40+ blockchains is in the petabytes and growing exponentially.

Google and Bloomberg had to organize the world's public financial and webpage data, Allium is on a mission to do the same for blockchain data

This is one of the rare times in history where indexing a giant public dataset is sorely needed by all - similar to what Bloomberg did for financial data and what Google organized for public webpage data. With this indexed data, we are fortunate to support trailblazers in this industry and play some role the industry’s most exciting trends:

About our customers

We serve 2 groups of customers today with the same data but different platform. Analysts who need to answer data questions about the blockchain (think BI) and Engineers who need highly reliable data queryable in near realtime (think Application backends). Our customers include the biggest institutions Visa, Stripe, Grayscale and also the biggest crypto companies such as Phantom, Uniswap. Allium is one of the unique companies in the industry that bridge blockchain and non blockchain worlds.

About the Role

We love engineers and wizards who love solving new problems every single day. While wizards are not engineers, they contribute and give the best product roadmap guidance to ensure the engineers build the right things in the right way.

More specific past work Allium data wizards have done:

Some qualities

  • Sherlock & Enola Holmes level of curiosity to find peculiarities in the data and help the industry redefine the narratives

  • Ability to parse and understand new blockchain schemas fast and well

  • Proficient understanding of NFT, DEXs, Decoded Logs, and Smart Contracts to transform the data to the product and customer's needs quickly

Allium sizzle reel

Giant infrastructure budget per head

You will make mistakes, costly mistakes, but at Allium's expense. We have an internal leaderboard of the costliest infrastructure mistakes made, and we (try to) learn from them. We don't have fancy Michelin-starred meal budgets, but we have a huge infrastructure budget for one to get better at your craft. Why? We leverage every tool (no prereqs) out there because we meet our enterprise customers where they are at:

  • Every OLAP: Snowflake, Databricks, Bigquery, Clickhouse*

  • Every OLTP: Postgres, Aurora

  • Every Event bus: Kafka, SNS, PubSub

  • Every Cloud Provider: AWS, GCP, Azure (one day)

  • A copy of data in every region: US East, Central West, Europe, Asia

  • Every data transformation and orchestration tool: Apache Beam, Materialize, TinyBird, DBT, SQLMesh, Temporal

  • Data governance tools: DataFold

Don't take our word for it, what our customers say about us (https://www.allium.so/blog#love)

What some ~cool people have to say about us:

Ok.. now for some tough love, here are the values we strive for at Allium:

  • 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.

  • 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

About the team

We invite engineers of all sorts of 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.

Administrative Benefits

Medical, Dental, Vision, Life and AD&D insurance - US folks get 100% coverage for Gold plans, 80% for dependents

Note: The sun never sets on Allium - we hire from any geographical location as long as you are willing to overlap 2 hours overlap on NYC mornings Mon-Thurs from 10am-12pm ET. We have people based in New York, Seattle, Singapore and Australia

All applicants have to answer this pop quiz: "What is an Allium? What is your favorite Allium?". Bonus points for the right pronunciation.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Deep Learning Jobs

Tags: APIs AWS Azure BigQuery Blockchain Crypto Databricks Data governance Data quality dbt Engineering GCP Kafka LLMs MVP OLAP PostgreSQL Research Snowflake SQL Streaming

Perks/benefits: Health care Startup environment

Region: North America
Country: United States

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