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Lead Data Architect Gcp

🌐 Remote💼 Full-time🗓 2026-07-24

Core

Designing and implementing scalable data pipelines, platforms, and warehouses on Google Cloud Platform for clients in telecom, banking, and financial services.

Role type

Lead Data Architect (GCP)

Builds

Data pipelines, data platforms, and data warehouses on GCP

Domain

Telecommunications, Banking, Financial Services

Deliverable

production ML models | product features | infrastructure

Required skills

Java, Python, SQL, Google Cloud Platform, BigQuery, Kubernetes, Airflow, dbt Core

Preferred skills

Technical leadership, mentoring, agile practices

Technologies

Google Cloud Platform, BigQuery, Kubernetes, Airflow, dbt Core

Responsibilities

Architecting and creating data pipelines, data platforms, and data warehouses on GCP; Acting as a trusted GCP technical consultant and trainer for clients; Implementing new practices within clients' engineering teams; Providing tech leadership and mentorship; Managing the end-to-end development lifecycle.

Seniority

Senior, hands-on IC with leadership responsibilities

Rewrite
## About the role 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 Hungary, Germany, Singapore, and Indonesia. We are looking for an experienced Big Data Architect colleague in Germany who will create an amazing experience for our customers as they build and maintain solutions in the Google Cloud. ## Responsibilities 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. ## Requirements We are looking for you if: - 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 experience in the telecommunication industry, banking, or financial services. - have great communication skills in English and speak German fluently. - 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. ## What we offer 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 remote but collaborative working environment. - 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. - last but not least, a great community. :) ## About the company Aliz was founded by a group of driven software engineers with one vision in mind: Build a human-centered company to solve exciting business challenges with cutting-edge technologies all around the globe. Our team includes engineers, industry experts, and digital professionals who ensure our clients are ready to face the challenges of the ever-changing digital world. Aliz is a proud Google Cloud Partner with specializations in Infrastructure, Data Analytics, Cloud Migration, and Machine Learning. We deliver data analytics, machine learning, infrastructure, and application development solutions, off the shelf, or custom-built on GCP using an agile, holistic approach. Recently we've launched our very own cloud cost optimization tool Rabbit.
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