Big Data Architect

Posted Yesterday
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Budapest, HUN
In-Office
Senior level
Machine Learning • Analytics
The Role
Architects and implements data pipelines, platforms, and warehouses on Google Cloud. Provides technical consulting, training, presales support, and proof-of-concept delivery for clients. Leads and mentors data engineering teams, guides cloud adoption, manages stakeholders, supports agile practices, and owns end-to-end development lifecycles. Requires strong coding, GCP, BigQuery, Kubernetes, Airflow, dbt, and agentic AI experience, plus English and Hungarian communication skills.
Summary Generated by Built In

Aliz is a global solution provider for the Google Cloud Platform (GCP) focusing on Europe and Asia. We are building scalable applications, IT infrastructures, Big Data, and machine learning solutions as a certified Google partner. We have offices in Budapest, Singapore, Berlin, and Jakarta.

We are looking for an experienced Big Data Architect colleague in Budapest who will create an amazing experience for our customers as they build and maintain solutions in the Google Cloud.

You are looking for us if

  • a dynamic project environment excites you more than painfully slow development.
  • building things from scratch motivates you more than refactoring legacy codes.
  • working with different people on different problems is refreshing for you.
  • solely designing complex solutions doesn’t satisfy you because you also want to actively take part in the implementation of your plans.
  • keeping your knowledge up-to-date is just as important to you as sharing it.

We are looking for you if you

  • are a data architect with at least 6 years of hands-on coding experience (Java/Python and SQL).
  • have at least 3 years of working experience with Google Cloud Platform (and/or Professional Google Cloud certifications).
  • are very comfortable working with BigQuery, Kubernetes, Airflow (Cloud Composer), and dbt Core. 
  • have hands-on, up-to-date knowledge in using agentic AI tools to build software solutions.
  • have experience in the telecommunication industry, banking, or financial services.
  • have great communication skills in English and Hungarian.
  • want to use your technical leadership skills to guide both our engineers and our clients’ engineers on their cloud journey.
  • thrive in a collaborative environment, where you can take on a lead role to guide the data team in agile practices.

Your diverse role will include

  • architecting and creating data pipelines, data platforms, and data warehouses on GCP.
  • being a trusted GCP technical consultant and trainer for our clients’ tech teams.
  • being part of the clients’ engineering team and implementing relevant new practices.
  • communicating efficiently with a conflict resolution and stakeholder management focus while representing a holistic approach to project delivery.
  • tech leadership and mentorship.
  • being responsible for the end-to-end development lifecycle.
  • presales activities and proof-of-concept delivery.

You will enjoy

  • using cutting-edge technologies and learning from A+ Big Data and Google Cloud experts.
  • career development opportunities with regular feedback and the chance to mentor talented juniors and mediors.
  • maintaining a healthy work-life balance with financial initiatives to support physical and mental health and green commuting.
  • a collaborative working environment with hybrid work opportunities (2-3 days from office).
  • flexible working time to adapt to when you feel most productive.
  • employee counseling opportunity with coaches and contracted psychologists.
  • continuous training and learning opportunities with yearly allocated learning hours from working time and dedicated mentorship by experienced colleagues.
  • social activities for everyone (team building events, company breakfasts, Christmas, Halloween, and VR parties, sport events, professional meetups, darts and pinball tournaments, biweekly company-wide knowledge sharing sessions).
  • last but not least, a great community. :)
 

Skills Required

  • At least 6 years of hands-on coding experience with Java or Python and SQL
  • At least 3 years of experience with Google Cloud Platform or Professional Google Cloud certifications
  • Strong working experience with BigQuery, Kubernetes, Airflow or Cloud Composer, and dbt Core
  • Current hands-on knowledge using agentic AI tools to build software solutions
  • Experience in telecommunications, banking, or financial services
  • Strong communication skills in English and Hungarian
  • Technical leadership skills to guide engineers and client engineering teams
  • Experience leading data teams in agile practices
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The Company
HQ: Budapest
182 Employees
Year Founded: 2009

What We Do

Let’s become partners, and move your business to the cloud together! Aliz helps you reach your business goals with Machine Learning and data solutions – powered by Google Cloud. Because of our strong partnership with Google, we have access to the most modern technologies and developments in the industry; and those resources combined with our dedicated, professional team is ensured to give your company a competitive edge. Data has become the most valuable resource – if you use it well. We help you put your company’s data to use, gain valuable insights, predict future trends, and optimise your business to increase ROI. Join those who are already in the cloud, taking full advantage of their automated processes – and make your business even more successful than it is now. We are committed to delivering quality to our clients. To ensure that your company is provided the best possible solution tailored to your business needs, we use cutting-edge technologies, and we’re very proud to be able to call ourselves the only Premier Google Cloud partners in the CEE region. So far we have helped airlines, retailers, telco companies, and many more high-profile clients to make their business more successful. We are specialised in Machine Learning and Big Data – with our analytics and data warehousing solutions, the sky is the limit.

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