As a Sr. Data Architect my role is to partner and engage with business and technology leaders across all the business functions within the enterprise in planning, creating, maintaining, and executing a capability roadmap aligned to the overall company and solution strategies to ensure that the people, process, data insights/information, and technology needs are accurately captured and planned for short, medium and long-term execution.

-Own and drive the architecture for multiple projects / products at the same time considering the global roll outs.-Architect, design and implement various components of data pipeline that include data integration, storage, processing, and analysis of business data.-Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.-Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.-Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.-Provide leadership and management to a team of data engineers, dbas, & data analysts managing processes and their flow of work, vetting their designs, and mentoring them to realize their full potential.-Contributing to data service delivery, by ensuring data engineers are in the right place at the right time.

Responsible for end-to-end management of production support/Application development Delivery for a portfolio of customers.Understanding customer's overall data estate, IT and Business priorities and success measures to design implementation architecture and solution.Overall Service owner for data services in Azure.Manage a team of highly skilled Data warehouse and Business Intelligence developers.Provide technology leadership to development team in relevant domain.

Accountable for the partnering with the North Americas and EMEA division of 42 countries for the largest Insurance giant for Technical Service Delivery, portfolio management and delivery of Data Engineering, finding opportunities, developing arguments (ROI), advising on technology solutions, establishing standards, designing governance processes, etc.

-Performed database/infrastructure physical design, database upgrades & applied software patches to databases as per application/client requirements-Customized support for Client's Applications (e.g. Third party supported/In-House Applications etc.) provided client will won the responsibility of creating and maintaining database objects and structures (e.g. tables, indexes, views, triggers, Functions, Procedures etc.).-Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.-Plan, Design & Build Analytics & Modern Data Platform- Establish Data Product Architecture

Developed and managed SQL databases by planning, developing, and maintaining the databases. Optimize database performanceCreate complex functions and stored proceduresAnalyze queries, develop security protocols, and resolve problemsDesign database architecture and create dashboardsWrite complex queries for applications and business intelligence reporting

Specify, design, build, and support data warehousing and BI solutions.Create dashboards and KPIs to show the business performance to management.Design and maintain data models used for reporting and analytics.Help the broader team identify new features and business opportunities through your analysis.Build various data visualizations to tell the story of trends, patterns, and outliers.Prepare detailed specifications from which programs will be written.Own the design and development of automated solutions for recurring reporting and in-depth analysis.

Own the design and development of automated solutions for recurring reporting and in-depth analysis.Monitor and tunes BI tools to ensure optimum level of performance.Provide updates to customers, business and staff on a timely basis for projects and tasks.Ensure data accuracy by validating data for new and existing tools.Support upgrades, configuration and troubleshooting for business intelligence tools.Modify existing reports, extracts, dashboards and cubes as necessary.Responsible for program design, coding, testing, debugging and documentation.Lead ad-hoc business deep dive analysis and present findings to senior leadership.