Data Solutions Architect

Ability to Conduct Client Workshops and participation in Due Diligence exercises to define a Data Strategy & roadmap that is aligned to their Business & IT Strategy

• Heavy pre-sales involvement, right from qualifying the pursuit, to Lead the Pursuit, Collate Questionnaire, collaborate team for responses, conduct review sessions with senior leadership for their approval, retrofit responses with solutions, Develop Commercials with various pricing models/options. Participation in Orals Presentation.

• Evangelize Solutions with the help of Assessment Exercises, PoC’s & PoV’s, Tool Comparisons & Evaluations. Experience spans across wide range of solutions in Cloud/Big data Platforms, BI & Analytics, across domains in Retail, CPG & Logistics

• Ability to Define the concept of monetizing the Data through Analytics with the help of various propositions, Analytics Life cycle of Descriptive, Predictive and Prescriptive Models.

• Ability to Provide Solutions in Big Data Platforms, Big Data Analytics, EDW & BI Project Engagements for all the major Clients spread across USA, Europe & Australia, Architecture Solutions for most of the Fortune 100 Clients.

• Should have Built Big Data Solutions on Cloud Platforms like – AWS, Azure, Google Cloud. Evaluation of various Cloud Technologies

• Should have good amount of know on Open-Source Tools & technologies

• Should have strong Experience in Data Management Platform – ETL/ELT, BI Tools, MDM (Master Data management), Visualizations, Data Virtualization tools, Multi-Dimensional Models & Tools, Data Modeling / Dimensional Modeling, Data Analytics, NoSQL Databases / Transactional Databases, Statistical Models and Machine Learning, Analytics Workbench, Data Science Architect, Cloud Architectures & DevOps/DataOps/MLOPS Frameworks

• Should have provided solutions with Data Governance (Data Quality, Security, Lineage, Data Life Cycle Management practices, Catalog/Metadata Management, Business Glossary)

• Created Valuable & reusable assets for Technology Consulting Group which has further enabled several successful Engagements

• Should have been well trained and catchup with Gen-AI Related Technologies

Experience Level:

SQL: 10+ years

Azure Synapse: 2+ years

Data Warehousing: 5+ years

Pre-Sales / Proposal development: 2+ years

Apache Spark or DataBricks: 2+ years

Overall Experience with database design and development: 15 years

Certifications Preferred : Azure Data Architect

Please mail your Resume :

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