TL;DR

Senior Cloud Data Architect (Cloud Data): Designing advanced data platforms for international enterprise clients across multi-cloud environments (AWS, Azure, GCP) with an accent on Databricks lakehouse solutions, ingestion, storage, and ML enablement. Focus on defining technical strategy, building end-to-end DevOps workflows, and ensuring performance, scalability, and security of data ecosystems.

Location: Remote work applicable in Poland, Latam, Moldova, and Romania

Company

%hirify_global% is a cloud and data practice company that designs advanced data platforms for international enterprise clients.

What you will do

Design and architect multi-cloud data platforms (AWS, Azure, GCP), ensuring performance, scalability, and security.
Lead Databricks lakehouse architecture development, covering ingestion, storage, governance, and ML enablement.
Define technical strategy, solution blueprints, and reference architectures for cloud data ecosystems.
Lead presales activities, including solution shaping, scope definition, and architecture proposals.
Oversee technical delivery, applying best practices in data engineering, DevOps, and automation.
Build end-to-end DevOps workflows using Azure DevOps and GitHub for CI/CD and infrastructure as code.

Requirements

Extensive experience architecting cloud environments (AWS, Azure, GCP).
Strong hands-on expertise with Databricks, Data Governance, Delta Lake, Unity Catalog, and modern lakehouse patterns.
Ability to design enterprise-grade ingestion, governance, orchestration, and data modeling pipelines.
Proficiency in DevOps and automation (Azure DevOps, GitHub Actions, Terraform).
Strong background in distributed systems, cloud security, networking, and compute/storage architectures.
Proven experience running technical workshops and defining architecture documentation.
Experience supporting presales or working with sales teams on technical proposals.
English: B2+ required for client-facing interactions.

Nice to have

Cloud certifications such as AWS Solutions Architect, Azure Architect Expert, or GCP Professional Cloud Architect.
Databricks certifications (Data Engineer, Data Architect, Machine Learning).
Experience with Kubernetes, containerized data workloads, data mesh architectures, or MS Fabric.
Familiarity with ML platforms and MLOps tooling.
Background in consulting or enterprise-scale transformation programs.

Culture & Benefits

Flexible employment and remote work options.
Opportunity to work with the latest technologies on international projects for global clients.
Non-corporate atmosphere with no enforced dress code.
Professional development opportunities: language classes, internal & external training, skill centers, and webinars.
Health and well-being support: private healthcare, insurance, multisport card, and well-being initiatives.
Occasional travel to clients' environments and international business trips (Poland & MD/RO).