Senior Data Architect: Enterprise Data & Integrations

Infinity Quest; Zürich; Vor Ort; CHF 150.000 - 210.000; Vollzeit

Zusammenfassung

Infinity Quest is seeking a Senior Data Integration Developer to design and implement data solutions that improve the quality of enterprise data assets in a complex financial services environment.

You will collaborate with Data Analysts and Data Modelers, translate business requirements into data specifications, and promote standards for Data Architecture, Modeling, and Data Security across the data platform. Strong experience with big data tools and containerized tech is required.

Qualifikationen

• 5–10 years of experience in Data Architecture or Data Engineering.
• Experience in solution architecture and data-driven product delivery.
• Proven ability to manage stakeholders across diverse organizations.
• Experience with large-scale data migration in on-premise environments.
• Hands-on with Data Science workbenches like Dataiku.
• Proficient with containerized tech: Docker and Kubernetes.

Aufgaben

• Design and implement data integration solutions to improve data quality.
• Translate business requirements into data/engineering specs.
• Develop end-to-end data pipelines from enterprise reporting to data science.
• Promote data platform standards and governance.
• Collaborate with analysts, modelers, and engineers.

Kenntnisse

Strong Python skills

Expert SQL skills

Excellent English communication

German knowledge beneficial

Tools

Presto/Trino

Hadoop

Hive

HBase

Spark

Solr

Tez

Kafka

Airflow

NiFi

Tableau

Power BI

Docker

Kubernetes

Dataiku

Jobbeschreibung

Infinity Quest is seeking a Senior Data Integration Developer to design and implement data solutions that improve the quality of enterprise data assets in a complex financial services environment.

You will collaborate with Data Analysts and Data Modelers, translate business requirements into data specifications, and promote standards for Data Architecture, Modeling, and Data Security across the data platform. Strong experience with big data tools and containerized tech is required.