Azure Data Architect - Singapore - DIGITAL BUSINESS PEOPLE PTE. LTD.

DIGITAL BUSINESS PEOPLE PTE. LTD. Singapore

1 week ago

Description

Roles & Responsibilities

Digital Business People is looking for a Microsoft Azure Expert in Data, who will deliver consulting/design services in this field.

Skill: Azure Data Architect

Mandatory Skills: Azure Services, Azure Synapse, Azure Data Engineering & Architecture experience

What you will do:

Act as a trusted advisor for our clients by designing and building analytics cloud solutions to enable better outcomes
Deliver architectures for transformation and modernization of enterprise data solutions using Azure cloud data technologies
Analyze current business practices, processes, and procedures as well as identify relevant Microsoft Azure Data & Analytics IaaS, SaaS and PaaS services
Support the use of data-driven insights to help our clients achieve outcomes and goals whilst respecting security requirements
Design and build data pipelines, data streams, reports, information dashboards, data services APIs, data generators and other data-relevant services
Work across client stakeholders to gather solution requirements and propose architecture decisions
During implementation collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources
Have a sound understanding of consumption cost drivers in Azure cloud-based solutions
Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics
Be a critical part of the data supply chain, ensuring that stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics

What you will need for the role:

Minimum of 8 years of experience with large-scale data and analytics solutions
Experience in working with Synapse is mandatory.
Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.
Experience with exposing data to end-users via Power BI, Azure API Apps.
Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB
Knowledge of Lambda and Kappa architecture patterns and Mastery of SQL
Experience in turning business use cases and requirements into technical solutions
Experience in business processing mapping of data and analytics solutions
Experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies
Experience driving knowledge transfer and/or training programs
Experience with agile delivery methodologies, proof of concepts and prototyping
Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps

Good to have Skills:

Knowledge of Master Data Management (MDM) and Data Quality tools
Experience in managing teams, being a technical coach
Experience with preparing data for Data Science and Machine Learning purposes
Experience with Azure data, Machine Learning and Artificial Intelligence solutions

At least one of the below certifications:

Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Enterprise Data Analyst Associate
Microsoft Certified: Power BI Data Analyst Associate
Microsoft Certified: Azure Data Scientist Associate
Microsoft Certified: Power Platform Solution Architect Expert

Tell employers what skills you have

Machine Learning
Microsoft Azure
MongoDB
Azure
Pipelines
ARM
Architect
Hadoop
Data Quality
Technology Solutions
Data Engineering
SQL
SaaS
Data Science
Master Data Management
Databases

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