Looking for Data expert with Advisory, consulting , GenAI, AI/ML , Data Bricks, Python and Pyspark experience . Senior data engineering leader with industry knowledge and strong understanding of GenAI.
The job involves Advisory and consulting, thought leadership, interact with customer through workshops to understand pain points/business challenges & provide Data, Analytics and Visualization solutions.
Must have experience and proficiency in all aspects of data management, data & analytics solution architecture & design, implementation roadmap. Must be hands on in solutioning.
Large extent of work will be in data management & governance.
The candidate is also expected to have good understanding & knowledge in all kinds of analytics- diagnostic, descriptive, predictive, prescriptive & cognitive (AI/ML as well as GenAI).
Must be experienced in either AWS or Azure Data, Analytics, Visualization stack. If the candidate is experienced in AWS then expected to be proficient in Azure, vice versa
Architect and design Unified Data & Analytics solution on AWS/Azure, Snowflake / Databricks, Map tools, technology, and solution components against business capability requirements
Analyze, understand, and capture business capability requirements
Analyze, understand, capture, and document the capabilities that are available internally in one form or another to create data fabric architecture
Analyze, understand the LoBs, Business systems, processes, teams & their roles and responsibilities, data & Analytical products that they create; to create data mesh architecture to produce differing combinatorial data products relative to business context from those assets
Define various data sharing and consumption patterns and implementation methodology using REST API, Analytics workspace, self-service, file share etc.
Define framework, guiding principles, best practices, and reusable components for data in rest, data in motion, Error control, process control, audit, reconciliation, orchestration and so on
Define testing strategy and reusable components
Create implementation roadmap, periodic review to ensure team follows the architecture and principles + Hand hold and guide the team
Must be proficient in all aspects of Asset management, Asset servicing business domain
Must have implemented at least 2 or 3 data management solutions in Investment management / Portfolio management / Fund management, end to end
Mentor and guide team on data management solutions and implementation
Candidate is expected to manage the implementation of the solution, following the agile methodologies
Skill set: AWS / Azure data & analytics full stack along with Snowflake / Databricks Delta lake.