Remote Data Solutions Architect - Snowflake & Cloud Leader

Sabenza IT & Recruitment; Remote; ZAR 800 000 - 1 200 000; Full time

Job summary

A prominent recruitment firm is looking for a Data Solutions Architect to deliver cloud-based data solutions within a remote-first environment. The successful candidate will lead cross-functional teams and manage the technical delivery of complex data architectures using platforms like Snowflake. The role requires strong experience in data architecture, agile methodologies, and proficiency in SQL, as well as a bachelor's degree in a relevant field. This position comes with the opportunity to guide the architectural decisions and drive innovative data strategies.

Qualifications

• Proven experience in data architecture, with a recent role as a Lead Data Solutions Architect.
• Experience in consulting roles, delivering custom data architecture solutions.
• Strong expertise in architecting and overseeing delivery of end-to-end data solutions.

Responsibilities

• Lead cross-functional teams to deliver cloud-based data solutions.
• Oversee technical delivery of your team and the solutions they build.
• Manage project budgets, timelines, and resources for architectural deliverables.

Skills

Data architecture

Cloud data architecture

Snowflake

Agile methodologies

SQL

Data governance

Python

Education

Bachelor's degree in business administration, Information Systems, or related field

SAFe or Scrum certification

Tools

AWS

Azure

GCP

Apache Spark

Job description

A prominent recruitment firm is looking for a Data Solutions Architect to deliver cloud-based data solutions within a remote-first environment. The successful candidate will lead cross-functional teams and manage the technical delivery of complex data architectures using platforms like Snowflake. The role requires strong experience in data architecture, agile methodologies, and proficiency in SQL, as well as a bachelor's degree in a relevant field. This position comes with the opportunity to guide the architectural decisions and drive innovative data strategies.