Azure Solution Architect
New York, NY, United States
Provided recommendations to business stakeholders and Leadership to solve complex business issues. Developed business cases for projects with a projected return on investment and cost savings.
Articulated and defined the Data strategy to moderate complex business problems in the related business domain
Lead the execution of multiple business plans and projects by identifying customer and operational needs by developing and communicating business plans and priorities.
Developed strategy and road map by working with various domain data leads to deliver quality and timely results to the business.
Lead a group of architects, provide them direction & help with implementing an Azure cloud architecture solution, and oversee issues such as migration and integrations.
Estimation and outlining of the solutions needed to implement cloud migration , integration, and continued operations.
Promote and support Associates with best practices, new strategies, and Initiatives in cloud-on-data Azure Practice
Executing the hands-on implementation of proposed solutions, and providing technical guidance to teams during the solutions' development and deployment phases.
Share information and guidance on engineering methodologies, standards, and best practices proactively with the team members.
Identify, communicate, and mitigate the assumptions, issues, and risks that occur throughout the project lifecycle.
Model and design the application data structure, storage, and integration
Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth
Develop Data Processing Jobs (that focus on Data Engineering tasks like Data Massaging, Data Cleansing, Data Transformation - both ETL and ELT along with load into Database, Datalake)
Able to perform Data Engineering tasks using Spark and Data
Knowledge of developing efficient frameworks for development and testing using to enable seamless data ingestion processes onto the cloud platform.
Enabling Data Governance and Data Discovery
Building data processing framework.
Exposure to Job Monitoring framework along with validations automation
Exposure to handling structured, Unstructured, and Streaming data.
Must have - Technical & Soft Skills Architecting and designing solutions that meet the functional and non-functional requirements
Create and review architecture and solution design artifacts.
Provide technical direction and lead a group of one or more architects addressing a common goal.
Enforce adherence to architectural standards and principles, globally followed product-specific guidelines, usability design standards, etc.
Ability to analyze and operate at various levels of abstraction
Ensure suitable sizing of solutions, technology fit, and DR are assessed and accounted for.
Keep abreast of emerging technology/industry trends in the cloud and Define new patterns and standards as required.
Drive, Plan, and Develop blueprints and deliverables that help customers in advancing their Azure Cloud capabilities, involving both new solutions and migration of existing solutions.
Collaborate and Guide other team members to design and develop end-to-end processes aligning with the defined architecture.
Regularly improve processes ensuring that high-quality information is delivered, contributing to the overall effectiveness of the AZURE architecture.
Strong Data Warehousing and Business Intelligence skills or including: Handling ELT and scalability issues for enterprise-level data warehouse
Creating ETLs/ELTs to handle data from various data sources and various formats
Strong hands-on experience in programming languages like Python, Scala with Spark, and Databricks.
Solid hands-on and Solution Architecting experience in Azure Cloud Technologies.
Hands-on experience in Data Ingestion using Azure Data Factory and Azure Databricks.
Hands-on working Experience with Azure Services like Azure Functions, Logic Apps, Azure Monitor, Synapse Analytics, T-SQL, etc.
Hands-on working Experience with Spark Databricks.
Feature Engineering/Data Processing to be used for Model development
Hands-on working experience in analyzing source system data and data flows, working with structured and unstructured data
Must be very strong in writing SparkSQL queries
Strong organizational skills, with the ability to work autonomously as well as in a team-based environment
Pleasant Personality, Strong Communication & Interpersonal Skills