SOLUTION ARCHITECT L1

Job summary

Design solution architecture for cross-system interactions and business logic integration to ensure seamless interoperability across applications. Responsibilities include requirement analysis, integration assessment, troubleshooting, and risk analysis to maintain an efficient system landscape.

Job details

Job Description Job Description Role Purpose The purpose of this role is to design solution architecture for cross-system interactions and business logic integration, ensuring seamless interoperability across multiple applications. ͏ Area of Responsibility Requirement Analysis-Participate in requirement discussions with client stakeholders to define solution and implementation level needs basis the business requirements. Designing-Create solution architecture designs to meet cross-system interactions and business logic integration requirements, ensuring system cohesion across multiple applications. Integration assessment and support-Assess and evaluate interactions across multiple applications by evaluating implementation dependencies and integration requirements. Troubleshooting-Support validation of solution components during implementation and ensures the solution functions as designed. Risk Analysis and Assessment-Assist in identifying potential risks by evaluating system performance of implemented architectural solutions, to ensure efficient system landscape. ͏ ͏ ͏ IT Professional 8+ years of comprehensive experience in the Software Development Life Cycle (SDLC), specializing in Azure stack with a proven track record of leveraging Microsoft Azure/Cloud Services to architect and implement scalable data solutions. Skilled in utilizing SQL Data Warehouse, Azure SQL Server, Snowflake, Azure Data Lake, Azure Blob Storage, Azure Databricks, and Azure Data Factory for efficient data processing, storage, and analytics (power BI) Design and implement scalable data pipelines using Azure Data Factory, Azure Databricks, Synapse and Snowflake Analytics. Develop data models and optimized data storage solutions using Azure SQL Database, and Azure Data Lake (Blob Storage). Experience in Azure fabric frame work (creating lake house, ware houses) Experience in working with One lake and delta lake for fabric workspaces. Experience in migration of on-premises data warehouse to Snowflake, Azure Synapse Analytics, enhancing data accessibility and reporting capabilities. Experience in designing and developing scalable data processing frameworks using Apache Spark, enabling efficient processing and analysis of large datasets in both batch and streaming modes. Proficiency in Pyspark, SparkSQL for developing notebooks in Databricks Experience in Spark SQL for developing notebooks in synapse. Have Worked on Event Hubs for processing streaming data in to Databricks. Experience in loading/writing data in to Azure data lake using ADF, Databricks, Synapse Analytics Proficiency in writing complex SQL queries and stored procedures. Proficient in optimizing data-base performance, ensuring efficient data retrieval, and implementing robust data manipulation logic. Proficiency in creating near real-time data pipelines, Enterprise Data Warehouses (EDW), DataMart’s, and audit and control frameworks. Skilled in designing and implementing solutions that ensure data integrity, compliance, and efficient reporting. Implemented CI/CD pipelines using Azure DevOps, including automated build, test, and deploy-ment processes. Designed and implemented a comprehensive framework of controls for the data governance team, ensuring data adheres to standards of accuracy, completeness, consistency, and compliance. Led the design and development of robust data loading frameworks and products, enabling efficient and reliable data ingestion, transformation, and integration across multiple platform Design and develop dashboards, reports in Power BI tool Mandatory Skills: DataBricks - Data Engineering Experience: 8-10 Years The expected compensation for this role ranges from CAD 100000 to CAD 150000 . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.

What you’ll do

Design solution architecture for cross-system interactions and business logic integration to ensure seamless interoperability across applications. Responsibilities include requirement analysis, integration assessment, troubleshooting, and risk analysis to maintain an efficient system landscape.

Requirements

Requires 8-10 years of SDLC experience specializing in the Azure stack and scalable data solutions. Proficiency in Azure Data Factory, Databricks, Snowflake, and PySpark is essential for developing complex data pipelines and frameworks.

Listed skills

• Power BI · Preferred
• CI/CD · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Azure Stack
• Azure Data Factory
• Azure Databricks
• Snowflake
• Azure Synapse Analytics
• Azure Data Lake
• Power BI
• PySpark
• Spark SQL
• Apache Spark
• SQL Server
• Azure DevOps
• CI/CD
• Data Modeling
• Azure Fabric
• Event Hubs

Job areas

• Data & Analytics
• Software
• Technology
• Consulting
• Engineering