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Entry LevelFull-timeGitAI
Salary Range
$30,281 - $40,969 /year
This salary is estimated based on similar roles. The actual salary may vary.
Key Responsibilities
- βLead the design and implementation of enterprise-grade data solutions and platforms
- βTranslate complex business needs into technical requirements for development teams
- βDevelop data-centric architecture using lakehouse models, streaming architectures, and AI-driven platforms
- βDefine and implement data governance frameworks aligned with client requirements and industry standards
- βLead large-scale cloud data operations such as warehouse migrations
- βDevelop data product strategies with a product-led approach
- βOversee data modelling initiatives using methodologies like 3NF, Dimensional, and Data Vault
- βEvaluate and integrate emerging technologies to enhance data architecture capabilities
- βProvide technical leadership and facilitate architectural discussions
- βCommunicate complex technical concepts to non-technical stakeholders
- βBuild relationships with external vendors and partners
Requirements
- βDeep understanding of data systems, cloud platforms, and enterprise architecture principles
- βStrong leadership and collaboration skills
- βExperience with lakehouse models, streaming architectures, and AI-driven platforms
- βKnowledge of data governance frameworks and compliance standards
- βExperience with data modelling methodologies (3NF, Dimensional, Data Vault)
- βAbility to translate business needs into technical requirements
- βExperience with cloud data operations and migrations
- βStrong communication skills to explain technical concepts to non-technical stakeholders
- βExperience with vendor and partner management
- βsummaryBullets: [
- β"Lead design and implementation of enterprise-grade data solutions",
"Translate complex business needs into technical requirements",
- β"Develop data-centric architecture using modern patterns",
- β"Implement data governance frameworks and compliance standards",
- β"Lead large-scale cloud data operations and migrations",
- β"Evaluate and integrate emerging technologies",
- β"Communicate technical concepts to non-technical stakeholders"
- β],
- βrequirementBullets: [
- β"Deep understanding of data systems, cloud platforms, and enterprise architecture",
- β"Strong leadership and collaboration skills",
- β"Experience with lakehouse models, streaming architectures, and AI-driven platforms",
- β"Knowledge of data governance frameworks and compliance standards",
- β"Experience with data modelling methodologies (3NF, Dimensional, Data Vault)",
"Ability to translate business needs into technical requirements",
- β"Experience with cloud data operations and migrations"
- β]
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