lead or architect
lead or architect
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Key Responsibilities Architect Design Design and implement end-to-end modern data architecture on the Azure cloud platform including data lakes data warehouses and analytics Technical Implementation Spearhead the development of data pipelines and modeling layers using Azure services (Azure Data Factory Synapse Analytics ADLS Gen2) Databricks and Modeling Warehousing Develop and maintain robust scalable data models that support business intelligence and analytics needs. Define and enforce data modeling standards and best Governance Drive the strategy for our cloud data platform ensuring security governance and cost-effectiveness are embedded into the architecture from day Leadership Plan and execute the migration of on-premise data warehouses and databases to the Azure cloud minimizing downtime and ensuring data Mentorship Work closely with data engineers analysts and business stakeholders to understand requirements and deliver effective solutions. Mentor junior members of the team on best practices in cloud data architecture.
Essential Skills:
Required Skills and Experience Experience 10 years in data engineering or architecture with at least 4 years in a senior or architect role focused on cloud Expertise Deep hands-on experience with the Azure data ecosystem including Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) and Azure Synapse Proficiency Proven expert-level ability to design and build solutions using Databricks for large-scale data processing (ETLELT) and Data Tooling Strong practical experience using dbt for data transformation modeling and testing within a cloud data warehouse Warehousing Solid understanding of data warehousing principles including KimballInmon methodologies dimensional modeling and schema as Code (IaC) Experience using tools like Terraform or ARM templates to define and manage cloud infrastructure. Preferred Qualifications Cloud Migration Experience Demonstrable experience leading a significant on-premises data warehouse migration to Azure cloud BI Familiarity with Power BI for data visualization and reporting is a strong plus but not Azure certifications such as DP-203 (Data Engineering on Microsoft Azure) or AZ-305 (Designing Microsoft Azure Infrastructure Solutions) are highly Experience implementing CICD pipelines for data engineering workflows (e.g. using Azure DevOps or GitHub Actions).Programming Proficiency in Python and Communication Skills.
Skills required:
Digital : Microsoft Azure
Digital : Databricks
Data Build Tool
Azure Data Factory
Desirable Skills:
Not listed
Keywords:
Not listed
EXPERIENCE RANGE IN REQUIRED SKILLS:
10 & Above
Employment Type
Full-time
