Data Architect

Data Architect / Sr Data Engineer/Analyst

Remote

Responsibilities

• You are an expert in Azure Data Analytics and have a thorough understanding of Azure Data Platform tools
• Expertise and hands-on experience on Data Factory, Data Bricks, Synapse, Data Lake Gen2 and Logic Apps.
• Expertise in SQL Server DB, Cosmos DB
• Collaborate with project stakeholders like database administrators, technical architects, business analysts, big dataadmins, security experts, information modeling experts to determine project needs and plan development and implementation strategies
• To define, review, and explain Data Architecture requirements & design to all the project stakeholders
• Lead the migration of data from legacy systems to newly developed solutions.
• To create strategies and design solutions for a wide variety of use cases like Data Migration (end to end ETL process), database optimization, data architectural solutions for Analytics and Big Data Projects
• To design, develop and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, Big Dataenvironments and provide solutions for Enterprise level Applications utilizing Azure Data Platform
• Work on streamlining data flows and data models consistently and build re-usable models
• Have a keen focus on improving and tuning data quality, accessibility, performance and security needs

Skills Required

• Bachelor/ master's degree in computer science engineering,
• Self-driven, and able to think holistically of the product roadmap
• Performing reviews of data Architecture and Designs
• Research new technologies and data modelling methods
• Creative in solving complex business problems
• Hands-on experience in business analysis, solution proposals, development
• Excellent written & verbal communication
• Proficient in capturing requirements, Architect and Design solutions for Azure Data Analytics, Big Data, Data Warehousing, ETL, MDM Projects/Products
• End-to-end implementation experience in at least ONE Project in Data Warehouse and Analytics using Azure Data platform tools.
• Proficient in the tools: Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synapse, Azure SQL DB, Cosmos DB, MS-SQL
• Lead the solution implementation for Data Warehouse projects
• Create conceptual, logical and physical data models for both relational and dimensional solutions
• Effectively managing large sets of data for performance, security and data governance viewpoint
• Deep knowledge of a wide variety of database systems and data mining techniques
• Experience in building and testing physical data models for a variety of use cases meeting performance and efficiency goals
• To have good knowledge of relational databases like Oracle, PostgreSQL, MySQL
• To have good knowledge of unstructured data systems like MongoDB, Cassandra,
• Knowledge of graph databases, streaming analytics, HDInsight
• Excellent in Logical and Physical Data Modelling using data modelling tools like Erwin, Enterprise Architect, etc.
• Certifications in Architecture, Analytics, Data Science, Big Data, Cloud will be an added advantage