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SeniorFull-timeRustAWSData ScienceCI/CDAIML
Salary Range
$20,995 - $28,405 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Lead Data Architect to serve as a critical bridge between the EDO Enterprise Solution Architecture team and business domains, with a focus on AI-aligned data initiatives. This hands-on architectural leadership role requires deep expertise in AWS and Databricks to accelerate delivery of data mesh, data science, ML, and GenAI use cases.
Key Responsibilities
- →Act as the primary Data architect and trusted advisor for the embedded business function, supporting initiatives from ideation through to production.
- →Ensure enterprise Data, ML, and AI architecture principles are applied pragmatically to deliver measurable business value.
- →Design and document end-to-end data solutions aligned with enterprise standards for data mesh, DataOps, MLOps, and AI-aligned data patterns.
- →Review and guide solution designs to ensure they are secure, scalable, resilient, and cost-effective.
- →Work closely with domain leadership to shape domain data and AI strategy and roadmaps.
Requirements
- ✓Deep knowledge of modern cloud data architectures on AWS, including lakehouse, streaming, and analytical workloads.
- ✓Expert-level experience designing and operating Databricks Lakehouse platforms on AWS with mastery of Delta Lake concepts.
- ✓Strong understanding of cloud security architectures, including VPC design, IAM least-privilege models, and encryption.
- ✓Solid grounding in data modelling paradigms and their application in large-scale environments.
- ✓Hands-on experience with enterprise metadata and governance tooling.
- ✓Strong capability in infrastructure-as-code and environment standardisation.
- ✓Hands-on experience applying DataOps principles and cloud cost management (FinOps).
- ✓Proven experience architecting data platforms that support ML and Generative AI.
- ✓Summary Bullets
- ✓Architect and lead data initiatives aligned with AI strategies
- ✓Design end-to-end data solutions using AWS and Databricks
- ✓Ensure compliance with enterprise security and governance standards
- ✓Collaborate with business and technical stakeholders
- ✓Drive data mesh and domain-oriented data products implementation
- ✓Requirement Bullets
- ✓Expertise in AWS cloud data architectures and Databricks Lakehouse platforms
- ✓Strong understanding of cloud security and data governance
- ✓Experience with metadata management and governance tooling
- ✓DataOps and MLOps principles application
- ✓Knowledge of ML and Generative AI platform architecture
- ✓Benefit Bullets
- ✓[]
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