TAL Australia5 followers42 jobs

Cloud Data Engineering Solution Architect

Mid levelSeniorFull-timeOfficeSydney NSW, AustraliaPosted 1 month agoVerified 1 month ago
Pending fitX of Y criteria met

About the job

The Data Engineering Solution Architect at TAL plays a vital role in shaping and governing a modern data ecosystem. This position is all about translating business and analytics requirements into secure, scalable data solutions while collaborating with diverse teams. Expect a supportive environment where innovation and inclusivity are at the forefront, allowing you to thrive and grow in your career.

Meet the team

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You'll be responsible for

📐

Defining data engineering architecture

Define and evolve TAL’s data engineering architecture, standards and reference patterns across ingestion, storage, processing, orchestration and consumption.
⚙️

Maintaining engineering standards

Define and maintain engineering standards for batch and real-time data movement, transformation, orchestration, observability, metadata capture and pipeline resilience.
🛠️

Providing architectural guidance

Provide hands-on architectural guidance to delivery teams, supporting solution shaping, design assurance, estimation and technical decision-making across data initiatives.

Key criteria

📊

Data engineering architecture experience

Proven experience defining data engineering architecture standards.

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☁️

Cloud data services knowledge

Deep knowledge of Azure data services and cloud-native tooling.

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🔄

Data governance understanding

Strong understanding of data governance and privacy requirements.

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A meaningful career starts with a match

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5 criteria for this job
Data engineering architecture experience
Proven experience defining data engineering architecture standards.

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Cloud data services knowledge
Deep knowledge of Azure data services and cloud-native tooling.

View

Data governance understanding
Strong understanding of data governance and privacy requirements.

View

Hands-on technical guidance
Experience providing architectural guidance to delivery teams.

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Data modeling expertise
Demonstrated experience in data modeling and metadata management.

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