Azure Data Solutions Architect

Responsible for designing solutions, aligned with customer requirements for projects initiated by supported lines of business in coordination with other technical departments.Creating a well-informed cloud strategy and managing the adaptation processEvaluating cloud applications, hardware, and softwareDeveloping and organizing cloud systemsResponsible for design and implementation of data modelling and data architecture for e.g., DataFactory /Kimball/ Inmon /DataMesh/ DataVault 2.0/LakeHouse/Medallion Architecture.Responsible for designing ETL/ELT, Data Ingestion, Data Validation and Data Quality in the data pipeline.Responsible for designing and preparing the data dictionary and data catalogue related to the data model.3 years’ Experience building cloud solutions.Apply technical knowledge to architect and design solutions that meet business and IT needs.A good understanding and hands-on market leading ETL/BI tools.Proficiency in SQL and Python.Good understanding of ADO Devops/ JIRA, Confluence and Release Management (Dev to Prod).Analyses business and proposal data and technical requirements to develop a wide range of data related solutions in cloud and traditional Technologies.Assists project team with requirements completion and submittal of responses to RFP’sPrepares design specifications, analyses and recommendations based on customer requirements.Participate in the design, development, planning, modification and/or improvement of existing data and analytical systems.Research system designs, concepts, feasibility and enhancement solutions utilizing advanced technical theory and knowledge.Partners with project team to complete technical design documentsCoordinates and contributes to compilation and writing of proposal documents.Prepares design proposals to reflect cost, schedule and technical approaches.Cloud Experience: Azure/AWS/GCP/Snowflake/DatabricksMethodology Experience: Agile, DMBOK, DataOps, MLOpsConsulting Experience PreferredEnd-to-end technology architecture designUnderstanding of Information Architecture domain (e.g., DAMA / DMBOK)Engage stakeholders in related domains to deliver a sound technology base for BI solutionsMaintain awareness of new developments in AI and Data technology. Applies to enterprise solutions as relevant.Knowledge of Information securityDefine data management processesDefine Systems management processesDefine Business continuity processesData integration (real-time, streaming, virtualization)