Snowflake / Databricks Cloud Architect
Role details
Job location
Tech stack
Job description
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We are seeking a highly experienced Cloud Data Architect to design and deliver modern, scalable Data & Analytics architecture across enterprise environments.
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The ideal candidate will have strong expertise in Snowflake, Databricks, and modern data engineering ecosystems, along with hands-on experience in data governance, data quality, MDM, and advanced data modeling frameworks such as Data Vault and Data Mesh.
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This role requires deep architectural expertise, the ability to engage with senior stakeholders, and experience building large-scale enterprise data platforms across Clienture, AWS, or GCP environments.
Responsibilities:
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Design and deliver enterprise cloud data architectures and transformation roadmaps.
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Architect and implement modern data platforms using Snowflake, Databricks (Delta Lake, Unity Catalog), Cortex AI, Fivetran, and dbt.
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Lead data platform design, data integration, warehousing, and analytics solutions.
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Define and implement data governance, data quality, and MDM frameworks.
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Develop data models including dimensional modeling, Data Vault, and Data Mesh/Data Products.
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Conduct architecture reviews and collaborate with internal teams and client stakeholders.
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Support presales and solutioning activities by developing architecture proposals and solution approaches.
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Work with senior leadership and data stakeholders to define enterprise Data & Analytics strategies.
Requirements
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7+ years of exp. in Cloud Data Architecture and Data & Analytics Solution Architecture.
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2-3+ years of experience delivering cloud-based data projects with Clienture, AWS, or GCP cloud platforms.
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Hands-on experience with Snowflake and Databricks (Delta Lake, Unity Catalog).
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Experience with Cortex AI, Fivetran, dbt, and modern data platforms.
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Strong knowledge of data governance, data quality, MDM, and data modeling.
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Experience designing large-scale enterprise data architectures.
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Experience in big data, data warehousing, and analytics projects.
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Experience with data virtualization tools.
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Experience leading enterprise data transformation initiatives.
Skills:
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Cloud Data Architecture
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Snowflake and Databricks
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Cortex AI, Fivetran, dbT
Education:
- Bachelor's degree or equivalent experience.