JOB PURPOSE:
Responsible for visualizing and designing enterprise data management framework. Analyses the data needs of company and create the data roadmap. The role demands the deployment of right data architecture to convert business need into data and system requirements, align business processes with IT systems, and manage the complex flow of data and information within the organization
PRINCIPAL ACCOUNTABILITIES:
(Accountabilities associated with the job)
- Providing technical and data leadership to organization
- Providing operation guidance to the application development team, IT and other functions.
- Understand the strategic business mission, vision, direction and goals
- Understand the future business capabilities (KPI, metrics, goals) etc.
- Identify current capabilities and areas of pain
- Identify gaps and areas of opportunity
- Understand the current data policies and procedure
- Gather Data via interviews, workshops, focus group discussion
- Baseline and benchmark best PA and common solutions
- Bring outside in view on latest tech stack on data management, Data Orchestration, DevOps and Source Code Management insight for Structural as well as semi / unstructured data ( across on-prem as well as on cloud)
- Prepare framework to review projects to ensure short term and long terms data strategy are followed by project delivery teams
- Build a framework of principles to ensure data integrity across the business
- Identify and evaluate new data management technologies
- Develop and Integrate technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.)
SKILLS AND KNOWLEDGE:
- Must have worked on Data Lake projects and involved in supporting data orchestration activities as part of building and enhancing
- Experience of architecting data solution across hybrid (cloud, on premise) data platforms
- Exposure to cloud integration/ cloud DWH implementation. (Snowflake, Azure Data Factory, Databricks etc.)
- Deep knowledge and experience of the different database technologies - Oracle, SQL Server, PostgreSQL
- Experience in large-scale Data Migration Projects
- Experience of ETL & ELT Tools such as Informatica IICS.
- Experience in Performance Tuning of ETL scripts to reduce the CPU time/load timing
- Experience with DevOps and Monitoring on Azure.
- Experience of mapping key Enterprise data entities to business capabilities and applications
Good to Have:
- NoSQL databases
- Exposure to advanced data analytics platforms- R, Python.