68965 Data Architect

half the sky; Singapore; On-site; SGD 120,000 - 160,000; Full time

Benefits offered by this job

Employee share purchasing

Flexible work arrangements

Commitment to diversity and inclusion

Competitive pay

Job summary

A leading technology company in Singapore seeks a Data Engineering Architect to support business decisions using advanced data analytics. The role involves designing data pipelines and APIs, ensuring stakeholders can access crucial data for analysis. Ideal candidates should have extensive experience in cloud data services, exceptional communication skills, and a passion for driving data-driven insights.

Qualifications

• Minimum 12 years experience with 4+ years of experience in large-scale data projects.
• Enterprise-scale technical experience with cloud and hybrid infrastructures.
• Expert knowledge of Azure Data services including Data Factory and Data Lake.

Responsibilities

• Translate business requirements into technical solutions.
• Support planning and implementation of data design services.
• Design and build modern data pipelines and streams.

Skills

Data pipeline design

Cloud architecture

Data analysis

Collaboration

Communication

Education

Azure certifications (AZ-900, AZ-200, AZ-201)

Databricks certification

DevOps certifications

Tools

Azure Data Factory

Power BI

Databricks

ETL/ELT tools

Visual Studio

Job description

As a Data Engineering Architect, you will use comprehensive modern data engineering techniques and methods with Advanced Analytics to support business decisions for the client. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources, patterns, insights, and trends to decision-makers.

Your goal is to support using data-driven insights to help our clients achieve business outcomes and objectives. In this role, you will collect, aggregate, store, and reconcile data supporting Client business decisions. You will help design and build data pipelines, data streams, reporting tools, information dashboards, data service APIs, data generators, and other end-user information portals and insight tools. You will be a critical part of the data supply chain, ensuring stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics.

Key Role Responsibilities

Day-to-day you will:

• Translate business requirements to technical solutions leveraging strong business acumen.
• Analyze current business practices, processes, and procedures, as well as identify future business opportunities for leveraging Cloud Data & Analytics PaaS Services
• Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
• Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
• Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure or other cloud data technologies
• Design and Build Modern Data Pipelines and Data Streams.
• Design and Build Data Service APIs.
• Responsible for designing and providing technical direction to data engineers, data analysts, data integration developers, and database administrators.
• Responsible for the quality assurance of all architecture and design deliverables (e.g., technical documents)
• Responsible for preparing High-Level Design (HLD) document.
• Manage, highlight, and resolve any design integration risks/issues with relevant business and stakeholder.
• Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
• Expose data to end users using PowerBI, Azure API Apps or any other modern visualization platform or experience.
• Implement effective metrics and monitoring processes.

Skill & Capability Requirements

• Minimum 12 years experience with 4+ years of experience working with large complex enterprises, architecting & implementing large-scale data projects through Azure or other cloud Data services
• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, data migrations, and technology management. required
• Collaboration and Communication. Known for driving decisions collaboratively, resolving conflicts, and ensuring follow-through with exceptional verbal and written communication skills.
• Experienced in building modern cloud-based data architectures, like building Lakehouse architecture using Databricks, and technologies such as Data Lake, Delta Lake, and Data Lakehouse e.g., Azure Data Lake Gen 2, Azure Delta Lake
• Experienced in Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.
• Ability to solve business problems using one or more Data and Analytics services in combination with building data pipelines, data streams, and system integration.
• Expert knowledge of Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, and Data Bricks is plus.
• Knowledge of Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics & Python is a plus.
• Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI
• Experience in database and data warehousing with SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc.
• Working experience with Visual Studio, PowerShell Scripting, and ARM templates
• Azure certifications (AZ-900, AZ-200, and 201), Databricks certification, DevOps certifications

What we offer you

Come for the distinctive experiences you have helping forward-thinking corporations, non-profits, and governments push the boundaries of digital innovation. Stay for the limitless learning opportunities that encourage you to master Microsoft and pursue big ideas. Enjoy ambitious growth for yourself as part of Avanades people-first culture with benefits like employee share purchasing, flexible work arrangements, a commitment to diversity and inclusion, and competitive pay.