Use leadership abilities to drive process and data, analytics and AI design from discovery through delivery. Work with Customer Service and GIS stakeholders supporting big data platform program and provide the leadership to define the data strategy and architecture. Design and develop data engineering functions and data governance specs based on the to-be processes part of the digital transformation. Engage in the business transformation workshops with SME and identify the data and process gaps and propose a scalable data and analytics architecture to address those gaps. Leverage current SILK architecture as a data hub for digital transformation program and identify additional tools and services to address the process gaps. Offer insight, guidance, and direction on the usage of emerging data analytics trends and technical capabilities that will help the digital transformation across the company. Demonstrate the capabilities and conduct POCs of data and advanced analytics solutions to digital transformation teams to show the potential of the Data Fabric/SILK platform. Define, maintain, and promote the advanced analytics standards and processes as part of GIS Center of Excellence across the company. Design advanced Analytics applications using Azure tech stack, MS Fabric, Power BI, Synapse including ETL processes. Develop collaborative relationships with key business sponsors and IT resources for the efficient resolution of work requests. 12+ years of experience in working in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, Data Bricks etc. Must have 5 years of solid experience in using Spark and Python technologies and framework for big data processing Minimum 3 years of experience in implementing end to end medallion architecture using Databricks or other cloud tools and platforms 5+ years of experience with ETL/ELT tools like, FiveTran, HVR, Kafka or equivalent, Azure ADF etc. for real-time, streaming and batch data ingestion patterns 8+ years of SQL experience in cloud native data warehousing tools with data modeling Proven experience in schema design and dimensional data modelling Must have solid knowledge of data warehouse best practices, development standards and methodologies in platforms like MS Fabric, Azure Synapse etc. Nice to have experience in SAP HANA data structures and related business processes Strong experience working with and analyzing large datasets, within the relevant domains of IoT and enterprise data Communication and presentation experience with proven track record of using insights to influence executives and colleagues Strong Computer Science and Mathematics background preferred Excellent query writing skill and communication skills preferred Familiarity with common API's: REST, SOAP preferred