Data Platform Solution Architect

Natobotics; Dublin; Hybrid; EUR 80,000 - 100,000; Full time

Job summary

A technology solutions company is seeking a Data Platform Solution Architect to design and optimize modern cloud-native data platforms. The role involves delivering high-quality architectures and ensuring scalability and performance. Ideal candidates will have substantial experience with Snowflake, AWS S3 data lakes, and data ingestion strategies. This is a hybrid position based in Ireland, offering flexibility and collaboration with cross-functional teams.

Qualifications

• Strong experience in Solution Architecture and enterprise data platform design.
• Deep expertise in Snowflake architecture and performance tuning.
• Experience with Data Lakehouse architectures (Apache Iceberg).
• Hands-on with AWS S3 data lakes and EMR / PySpark processing.

Responsibilities

• Design and deliver end-to-end data platform architectures using modern cloud-native patterns.
• Produce high-quality Architecture Design Documents (ADDs) and technical blueprints.
• Ensure platform reliability and performance tuning across systems.

Skills

Solution Architecture

Snowflake architecture

Data Lakehouse architecture

AWS S3 data lakes

Apache Airflow

dbt for data transformation

Terraform

CI/CD pipelines

Job description

Job Title: Data Platform Solution Architect

Locations: Nenagh / Dublin (Ireland) or Warsaw (Poland)

Work Mode: Hybrid (3 Days from Office)

Contract Role: 6 months

Start Date: Only Immediate Joiners or candidates with max 2-3 weeks’ notice

Role Overview

We are seeking an experienced Data Platform Solution Architect to design, build, and optimize modern, cloud-native data platforms. You will play a key role in shaping scalable, secure, and high-performance data architectures, leveraging best-in-class technologies across data engineering, cloud infrastructure, and DevOps.

This role requires a strong blend of hands‑on technical expertise, architectural leadership, and strategic thinking to deliver robust data solutions aligned with business needs.

Key Responsibilities

• Design and deliver end-to-end data platform architectures using modern cloud-native patterns
• Produce high-quality Architecture Design Documents (ADDs) and technical blueprints
• Architect and optimize solutions using Snowflake, dbt, and Data Lakehouse (Iceberg)
• Build and manage scalable S3-based data lakes and processing pipelines using EMR / PySpark
• Develop and orchestrate workflows using Airflow / MWAA
• Lead data ingestion, transformation and modeling strategies
• Ensure platform reliability, scalability and performance tuning across systems
• Implement observability, monitoring and APM solutions
• Drive CI/CD pipelines, automation and Infrastructure as Code (Terraform)
• Apply security best practices and ensure compliance across data platforms
• Integrate data cataloging and governance tools
• Collaborate with cross-functional teams including engineering, DevOps, and business stakeholders

Required Skills & Experience

Core Architecture & Data Platforms

• Strong experience in Solution Architecture and enterprise data platform design
• Deep expertise in Snowflake architecture and performance tuning
• Experience with Data Lakehouse architectures (Apache Iceberg)
• Hands‑on with AWS S3 data lakes and EMR / PySpark processing

Data Engineering & Orchestration

• Proficiency in Apache Airflow / AWS MWAA
• Strong experience with dbt for data transformation
• Solid understanding of data ingestion pipelines and data modeling

Cloud & DevOps

• Strong knowledge of Terraform / Infrastructure as Code (IaC)
• Hands‑on experience with CI/CD pipelines and DevOps practices
• Experience implementing automation and deployment strategies

  Performance, Reliability & Observability

  • Expertise in performance tuning (Snowflake, Airflow, Iceberg)
  • Strong focus on platform reliability and scalability
  • Experience with monitoring, logging and APM tools

  Security & Governance

  • Knowledge of cloud security best practices
  • Experience with data governance and catalog tools

  Nice to Have

  • Experience with multi‑cloud environments
  • Exposure to real‑time/streaming data architectures
  • Certifications in cloud platforms (AWS, etc.)
  • Experience working in regulated environments

  What We’re Looking For

  • Strong problem‑solving and analytical mindset
  • Ability to translate business requirements into technical solutions
  • Excellent communication and stakeholder management skills
  • Passion for building modern, scalable data platforms