Data & Informatica Architect

Talan

19h•Remote

About The Position

We are looking for a highly experienced Senior Data & Informatica Architect to design and define complex enterprise architectures across cloud and on-premises environments. The ideal candidate will have a strong background in data architecture, integration, cloud technologies, Informatica, security, and data governance, with the ability to lead architectural decisions across complex and hybrid technology landscapes.

Requirements

Strong experience designing complex enterprise architectures.
Microservices and distributed architectures.
Data Warehouse (DWH) and Data Lake architectures.
Hybrid cloud and on-premises architectures.
Advanced data modelling.
Data integration and enterprise integration patterns.
APIs and middleware technologies.
SQL Server and Oracle.
Advanced knowledge of at least one major cloud platform, ideally with exposure to: AWS, Microsoft Azure, Google Cloud Platform (GCP).
On-premises infrastructure and hybrid architectures.
Strong experience with the Informatica ecosystem, including: Informatica Data Quality (IDQ), Informatica PowerCenter, Informatica Cloud / IDMC.
CDGC (Cloud Data Governance and Catalog) — highly desirable.
Master Data Management (MDM) — desirable.

Responsibilities

Design and define complex enterprise architectures, including microservices, cloud, integration, hybrid environments, Data Warehouses, Data Lakes, and data models.
Define scalable and secure architecture solutions across cloud and on-premises environments.
Provide architectural leadership across data, integration, and application initiatives.
Design and oversee API and middleware architectures, ensuring reliable integration between systems and platforms.
Define data architectures and data modelling strategies for analytical environments.
Work with relational databases, including SQL Server and Oracle.
Ensure solutions meet required standards for security, scalability, performance, and resilience.
Establish and promote data governance and data security practices, including data lineage, data masking, role management, and access control.
Ensure compliance with relevant regulations, including GDPR and the EU AI Act.
Define and manage access to data and technology environments across both cloud and on-premises platforms.
Evaluate and incorporate emerging technologies where they can provide business or technical value.
Collaborate with engineering, data, security, DevOps, and business teams to ensure architectural alignment.
Provide technical guidance and contribute to architecture standards, best practices, and technology roadmaps.