HumanIT Digital Consulting

Senior Data Solutions Architect – AWS, Python, Snowflake

HumanIT Digital Consulting

full-time

Posted on:

Location Type: Remote

Location: Portugal

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Job Level

Senior

Tech Stack

AirflowApacheAWSAzureCloudGoogle Cloud PlatformKafkaPythonSparkVault

About the role

  • Own the lifecycle of data pipelines and storage systems across cloud environments, ensuring they are scalable, secure, and high-performing.
  • Work closely with developers, partners, and leadership to deliver robust data solutions and integrate best practices into daily workflows.
  • Build software services and APIs using Python frameworks to create smooth, reliable data processing and deployment experiences.
  • Apply appropriate data modeling methodologies (Kimball, Inmon, Data Vault) to solve different problems and optimize the stack for every challenge.
  • Work with streaming data platforms like Kafka or Kinesis and proprietary open-source platforms including Snowflake, Databricks, Vertica, Spark, and Airflow to enable teams through automation and continuous improvement.
  • Expected travel varies by project (0-15%).

Requirements

  • 6+ years of experience in data architecture and engineering roles
  • Solid experience working in cloud environments with strong exposure to AWS, plus familiarity with Azure and GCP
  • Hands-on with streaming platforms like Apache Kafka or AWS Kinesis
  • Experience with proprietary open-source platforms including Snowflake, Databricks, Vertica, Apache Spark, and Apache Airflow
  • Strong programming skills including organizing Python-based projects and building software services and APIs
  • Strong understanding of different data modeling methodologies including Kimball dimensional modeling, Inmon enterprise data warehouse, and Data Vault 2.0
  • Ability to own complete lifecycle of data pipelines and storage systems
  • Experience building automated data processing and deployment solutions
  • Comfortable tackling complex problems across different technologies
  • Excellent collaborator working seamlessly between developers, partners, and leadership
  • Ability to explain data modeling techniques, architectures, and technical concepts to various stakeholders
  • Self-organization with courage to take risks and belief that teaching others is the best way to learn
  • Fluent English (mandatory for client and leadership communication)
Benefits
  • Professional development
  • Flexible work arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata engineeringPythondata modelingKimballInmonData Vaultautomated data processingAPIsstreaming data
Soft Skills
collaborationcommunicationself-organizationproblem-solvingleadershiprisk-takingteachingadaptabilitystakeholder engagementcourage