Role Overview
You will work with clients to identify, document, and translate their business strategy and requirements into solutions and services in Azure that help our clients achieve their business outcomes using Data solutions.
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 8+ years experience, with enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, data migrations, and technology management. required
- 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 building data pipelines using spark and distributed computing, Big Data management & processing using tools such as Hadoop
- 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
