Job overview
as a digital data solutions architect, you will play a pivotal role in driving the architecture and evolution of our analytical data solutions. This position is critical in ensuring the performance, scalability, and integrity of our data assets while aligning with business objectives.
key responsibilities:
* define and enforce technical standards for analytics assets (etls, dashboards, data models) to ensure consistency and quality.
* promote the adoption of modern tools and technologies aligned with business needs to drive innovation and growth.
* participate in project and task prioritization based on business impact to ensure strategic alignment.
* drive standardization and documentation of etl processes and reporting dashboards to enhance efficiency and accuracy.
* manage the technical backlog across adhoc requests, bau operations, projects, and level 1 support to maintain a smooth workflow.
* monitor the performance of data solutions and proactively optimize them for greater efficiency, accuracy, and scalability.
* contribute to data governance policy implementation to ensure data quality, security, and integrity.
technical requirements:
* strong experience in visual data design and architecture.
* advanced sql and data modeling skills.
* hands-on expertise in etl/elt development and dataops practices.
* cloud data experience with aws (preferably redshift) and google bigquery.
* familiarity with data visualization tools such as tableau, looker studio, or power bi.
* proficient in python for scripting and automation.
* comfortable working with jira and agile methodologies (scrum/kanban).
* competency in microsoft office suite for documentation and collaboration.
additional requirements:
* advanced english (spoken and written) – mandatory for global team collaboration.