MS Fabric Solutions Architect will take the ownership of the strategic solution architecting and delivery including designing, refining, and uplifting data architecture to meet the expectation of clients.
Provide direction on adoption of Cloud technologies and industry best practices in the field of data warehouse architecture and modelling.
Be a champion for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the MS Fabric platform.
Develop customer engagement strategies in partnership with Account Executive(s).
He/ She will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project.
Provide thought leadership on how clients can achieve their data strategies and objectives.
Ability to analyse complex situations and to derive workable actions and ability to constructively challenge requirements and current state to increase overall value to the firm.
Lead and Architect migration of enterprise on-prem data environment to MS Fabric with performance and reliability.
Assess and understand the existing EDW workloads and reporting/ analytics to architect value / outcome-based target state architecture and roadmap for execution.
Lead cross-functional, cross-organisation initiatives that drive innovative solutions on MS Fabric.
Deliver presentations to internal & external audiences.
Drive opportunity pursuits for Cloud Data Migration and Data Modernization initiatives.
Mentor and lead other Data Architects/ Solution architects and infuse best practices across a broader Data & AI community.
Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
Contribute to MS Fabric technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
Qualifications & Experience
Bachelor's or master's degree in computer science, Engineering, or related field.
Ability to understand and articulate requirements to technical and non-technical audiences.
Stakeholder management and communication skills, including prioritising, problem solving and interpersonal relationship building.
Experiences with design, develop, and implement end-to-end data engineering solutions using MS Fabric for large-scale data processing and data integration projects.
Build and optimize data ingestion processes from various sources, ensuring data quality, reliability, and scalability.
Perform data transformation tasks, including data cleansing, aggregation, enrichment, and normalization, using MS Fabric and related technologies.
Monitor and troubleshoot data pipelines, identifying and resolving performance issues, data quality problems, and other technical challenges.
Implement best practices for data governance, data security, and data privacy within the MS Fabric environment.
