#63072
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:
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 Avanade’s people-first culture with benefits like employee share purchasing, flexible work arrangements, a commitment to diversity and inclusion, and competitive pay.
Paid maternity
Unpaid maternity
Paid paternity
Unpaid paternity
Paid adoptive
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