Calling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Data Platform Solutions Architect - Commerce Hub
What does a successful Data Platform Solutions Architect do:
We are seeking a talented and experienced Data Platform Solutions Architect to join the Data Solutions domain in EMEA. In this hands‑on role, you will design, build, and optimize scalable, cloud‑native data platform architectures leveraging AWS, Snowflake, Airflow/MWAA, dbt, and modern lakehouse patterns. You will collaborate closely with engineering, analytics, and architecture teams to deliver robust data solutions that enable high‑quality, reliable, and governed data across the enterprise.
What you will do:
- Design and architect end‑to‑end cloud data platform solutions across AWS, Snowflake, Airflow, dbt, and lakehouse components.
- Analyse system requirements and develop enterprise data models aligned with business needs and scalable architecture principles.
- Define and oversee the implementation of data integration architectures, including ingestion pipelines, data flows, orchestration, and ELT/ETL processes.
- Build, optimize, and maintain high‑performance data pipelines for ingestion, transformation, storage, and delivery across warehouse and lakehouse layers.
- Apply hands‑on tuning and optimization to Snowflake, S3‑based lakehouse structures (Iceberg), Airflow DAGs, and dbt transformation models.
- Ensure data governance, lineage, quality, observability, access control, and compliance throughout the entire data lifecycle.
- Evaluate, recommend, and implement emerging data technologies and architectural improvements to enhance platform scalability and performance.
- Monitor and troubleshoot data workflows, compute layers, storage layers, and orchestration to ensure platform reliability.
- Produce high‑quality Architecture Design Documents (ADDs), solution designs, and technical standards aligned with enterprise architecture principles.
- Collaborate with engineering teams to maintain platform reliability through automation, observability, and continuous improvement.
- Provide production support, guiding teams through root‑cause analysis, pipeline recovery, and optimization strategies.
- Champion best practices in data engineering, lakehouse design, ELT architecture, CI/CD, and cloud-native patterns.
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, Data Integration (IBM Streamsets, Informatica) and Data Transformation (Airflow + 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 (StreamSets) and streaming (Kafka) data solutions.
- Familiarity with data modelling concepts (Inmon, Kimball, Data Vault, etc.).
- Exposure to CI/CD or Infrastructure-as-code (Terraform or any other) is a plus.
- Experience with Application Performance Monitoring Frameworks.
- Knowledge of data quality and security best practices is advantageous.
- Proven experience in producing sound and comprehensive Architecture Design Documents and ability to align with Enterprise Architecture Principles.
- Understanding of the classic software architecture patterns.
- Minimum 7 years of experience in data engineering, data architecture, or cloud platform roles within a fast‑paced, enterprise-scale environment.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical discipline.
- Strong proficiency in SQL, data integration platforms (StreamSets, Informatica), and transformation frameworks (Airflow/MWAA + dbt).
- Deep hands‑on experience with AWS, including IAM, Lambda, EKS, S3 (data lake), EMR(PySpark), Lakehouse technologies (Iceberg), MWAA (Airflow) etc
- Advanced expertise with Snowflake, including performance tuning, warehouse scaling, resource optimization, RBAC, and storage/compute architectur
- Experience with batch pipelines (StreamSets) and streaming systems (Kafka).Strong knowledge of data modeling frameworks (Inmon, Kimball, Data Vault).
- Exposure to CI/CD, DevOps, and Infrastructure-as-Code (Terraform or equivalent).
- Experience with Application Performance Monitoring tools and data pipeline observability.
- Understanding of software architecture and cloud-native design patterns.
- Demonstrated ability to produce clear, precise architecture documentation, with strong alignment to enterprise architecture standards.
- Familiarity with data quality frameworks, security standards, and governance practices.
- Strong attention to detail, with a proactive approach to identifying and resolving problems.
- A genuine interest in emerging data technologies and a curiosity about continuous improvements.
- Excellent verbal and written communication skills.
- Attention to detail mindset, proactively identify problems & evaluate solutions.
- AI Empowered Experience
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Thank you for considering employment with Fiserv. Please:
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
