Data Engineering Architect - Commerce Hub

Fiserv • Full-time • Nenagh, Munster, Ireland • 1d ago

What does a successful Data Engineering Architect do?
You will join the Data Solutions domain in EMEA. As a key contributor, you will be responsible for designing and implementing scalable data architecture solutions that empower our organization to make data-driven decisions. You will collaborate with cross-functional teams to create robust data pipelines and ensure data availability, reliability, and quality across the organization.

What you will do:

Analyse system requirements and design, develop, and maintain enterprise data models that meet business requirements.
Design and oversee the implementation of integration architectures, including data flow, process flow, and ETL integrations
Build and optimize robust data pipelines for ingestion, processing, and storage of large datasets.
Ensure data governance, security, and compliance best practices are followed throughout the data lifecycle.
Evaluate and implement new data technologies and tools to enhance data processing and analytics capabilities.
Monitor, troubleshoot, and optimize data workflows to ensure performance and reliability.
Document data architecture, processes, and best practices to ensure knowledge sharing within the organization.
Provide ongoing production support and maintenance, ensuring system observability and reliability to quickly identify and resolve issues.

What you will need to have:

Minimum 7 years’ experience in a similar position within a dynamic and fast paced environment at enterprise production scale.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Strong Proficiency in SQL and DBT with thorough understanding of data transformation processes
Strong Experience in AWS (IAM, Lambda, EKS, S3 (Datalake), EMR (Pyspark), Datalakehouse (Iceberg), MWAA and other services relevant to data architecture and analytics
Expertise in Snowflake, with a proven ability to optimize queries for efficient data retrieval.
Experience with both batch and streaming data solutions.
Familiarity with data modelling concepts (Inmon, Kimball, Data Vault, etc.).

What would be great to have: