At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.
Were looking for a Data Architect to help our Data Engineering and Data Science teams become more productive, define and lead POCs of data processing, ML and LLM technologies, improve our Data Lake and optimize our data serving platform.
This role will report to VP R&D.
Why is this role so important at Similarweb?
Our R&D team transforms petabytes of data into digital insights for our customers, on a daily basis. This means that we are always on the lookout for new ways to make those processes more efficient, reliable, and scalable.
We are looking for a Data Architect to define the optimal way of processing data, developing new algorithms, and sharing data between different R&D departments and with our customers.
You will impact the work of hundreds of engineers and data scientists in Similarweb, by defining and implementing most suitable ways of data processing and influence our customers by providing top notch infrastructure for a flawless data delivery.
So, what will you be doing all day?
Your role as Data Architect means your daily responsibilities may include:
Define and implement standards and best practices for data engineering teams
Lead improvements to our data processing infrastructure
Research, POC and implement new data technologies
Improve our Data Lake
Mentor data processing and data delivery teams
Requirements: This is the perfect job for someone who:
Holds a BSc degree in Computer Science.
At least 3 years of experience as data architect or similar position
At least 10 years of experience in software development and data processing
Deep knowledge and understanding of modern data stacks and technologies
Deep knowledge and understanding of AWS cloud, Spark, Airflow, Sage Maker
Good knowledge of databases: relational, key value stores, document DBs and analytical DBs
Experience with ML ops
Have excellent leadership, communication and collaboration skills with the ability to provide constant dialog between engineering teams
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