Job Description:
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Define and evolve the long-term target architecture and strategic roadmap for the enterprise data platform.
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Establish architectural principles patterns and guardrails that guide data platform and engineering decisions.
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Partner with the Head of Data Platforms and Lead Data Engineer to align platform vision with practical delivery.
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Provide architectural guidance across Lakehouse ingestion governance and consumption layers.
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Ensure platform design supports scalability security regulatory compliance cost efficiency and responsible AI principles.
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Enable domain-aligned data products feature reuse and cross-domain integration to support analytics and AI use cases.
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Evaluate emerging data technologies and advise on their adoption where they deliver clear business value.
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Evaluate emerging data ML and AI technologies (e.g. feature stores model lifecycle tooling vector search) and advise on their adoption where they deliver clear business value.
-
Ensure the platform remains future-ready for real-time data automation and evolving AI capabilities without creating unnecessary complexity.
Job Description: Define and evolve the long-term target architecture and strategic roadmap for the enterprise data platform. Establish architectural principles patterns and guardrails that guide data platform and engineering decisions. Partner with the Head of Data Platforms and Lead Data ...
Job Description:
-
Define and evolve the long-term target architecture and strategic roadmap for the enterprise data platform.
-
Establish architectural principles patterns and guardrails that guide data platform and engineering decisions.
-
Partner with the Head of Data Platforms and Lead Data Engineer to align platform vision with practical delivery.
-
Provide architectural guidance across Lakehouse ingestion governance and consumption layers.
-
Ensure platform design supports scalability security regulatory compliance cost efficiency and responsible AI principles.
-
Enable domain-aligned data products feature reuse and cross-domain integration to support analytics and AI use cases.
-
Evaluate emerging data technologies and advise on their adoption where they deliver clear business value.
-
Evaluate emerging data ML and AI technologies (e.g. feature stores model lifecycle tooling vector search) and advise on their adoption where they deliver clear business value.
-
Ensure the platform remains future-ready for real-time data automation and evolving AI capabilities without creating unnecessary complexity.
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