LocationDublin, Ireland# Data Platform Solution Architect at N Consulting LtdLocationDublin, IrelandSalary€400 - €450 /dayJob TypeContractDate PostedMarch 31st, ****Apply NowJob 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' noticeRole OverviewWe 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 stakeholdersRequired 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 Experience with cloud-native architecture patterns (AWS preferred) 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 toolsNice 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
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