Azure Data Architect
Compensation: $90,290.00 - $127,440.00 /year *
Employment Type: Full-Time
Industry: Information Technology
Do you view data as an art and a science? So do we.Avanade leads in providing creative digital services, business solutions and design-led experiences for its clients, delivered through the power of people and the Microsoft ecosystem. Our professionals combine technology, business, and industry expertise to build and deploy solutions to realize results for clients and their customers. Avanade has 27,000 digitally connected people across 23 countries, bringing clients the best thinking through a collaborative culture that honors diversity and reflects the communities in which we operate. We welcome all and seek talented individuals who can bring their whole self to work, build inclusive teams and encourage diversity inside and outside the organization. Majority owned by Accenture, Avanade was founded in 2000 by Accenture LLP and Microsoft Corporation.How we support you:We believe in gender equity and an inclusive community. We offer a comprehensive benefits package: generous vacation allowance disability coverage, retirement plans, paid maternity and paternity leave, life insurance, hotel and travel discounts, extended benefits to cover items that support your well-being, health, dental and vision insurance, professional development and paid Microsoft certification opportunities.Role Overview:As a Manager, Azure Data Architect at Avanade, you will act as a trusted advisor for Avanade clients by designing and building analytics architectures to enable better business outcomes for these corporations. You will work across client stakeholders to determine solution requirements and rationalize architecture decisions. During implementation, you will collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and present patterns, insights, and trends to decision-makers. Your goal is to support the use of data-driven insights to help our clients achieve business outcomes and objectives. 80% travel as needed.Must Haves:You likely have about 7-10 plus years' relevant professional experience.Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL.Expose data to end-users using Azure API Apps or any other modern visualization platform or experience.Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, and Azure Stream Analytics.Experience with Git/TFS/VSTS.Knowledge of Lambda and Kappa architecture patterns.Knowledge of Master Data Management (MDM) and Data Quality tools and processes.Day-to-day, you will:Translate business requirements to technical solutions leveraging strong business acumen.Analyzes current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services.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 cloud data technologies.Design and Build Modern Data Pipelines and Data Streams and build Data Service APIs.Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.Working experience with Visual Studio, PowerShell Scripting, and ARM templates. Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration. Strong team collaboration and experience working with remote teams.80% travel as neededCapability Requirements:Your technical and non-technical skills include:Demonstrated experience of turning business use cases and requirements to technical solutions.Experience in business processing mapping of data and analytics solutions.Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.Demonstrated experience preparing data and building data pipelines for AI Use Cases (text, voice, image, etc.).Designing and building Data Pipelines using streams of IOT data.Preferred Education Background:You likely possess a Bachelor's/Master's/Ph.D. degree in Applied Mathematics, Statistics, Analytics, Operations Research, Economics/Econometrics, Engineering or another relevant quantitative field.You will likely have 5-7 years of experienceAccountabilities & Metrics:Accountable for: Chargeability target and personal goals.
Associated topics: data analyst, data analytic, data center, data integrity, data quality, data warehouse, etl, hbase, mongo database administrator, sybase
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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